CN108122093A - A kind of multi-platform task management system by all kinds of means based on deep learning - Google Patents
A kind of multi-platform task management system by all kinds of means based on deep learning Download PDFInfo
- Publication number
- CN108122093A CN108122093A CN201711288502.9A CN201711288502A CN108122093A CN 108122093 A CN108122093 A CN 108122093A CN 201711288502 A CN201711288502 A CN 201711288502A CN 108122093 A CN108122093 A CN 108122093A
- Authority
- CN
- China
- Prior art keywords
- task
- report
- user
- personal
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/1093—Calendar-based scheduling for persons or groups
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Operations Research (AREA)
- Economics (AREA)
- Marketing (AREA)
- Data Mining & Analysis (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Telephonic Communication Services (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of multi-platform task management systems by all kinds of means based on deep learning, subscription client server and management client including communication connection, subscription client obtains task data, statistical analysis task data, generate personal task report and personal recommendation task report, personal task report is used to prompt to remind user in the current time stage, personal recommendation task report is used to prompt to remind user in the future time stage, and send task data, personal task report, personal recommendation task report to server with store with it is multi-platform synchronous；Server is counted, analyzed and learnt to the task data of each user using deep learning mode, generates public recommendation task report, and sends public recommendation task report to subscription client to prompt to remind user；Management client realizes information management, user authority management and safety management to user in server, update to public recommendation task report and issues some common notifications.
Description
Technical field
The invention belongs to the communications fields, and in particular to a kind of multi-platform task management system by all kinds of means based on deep learning
System.
Background technology
With the development of social economy's science and technology, chat tool is more and more, and busy business people and white collar usually face
The notice " bombing " of multipath, there is an urgent need to a multi-platform task management systems by all kinds of means, it is helped to manage, quickly generate,
Anti- forgetting vital task improves its study, work and life efficiency, facilitates the needs such as its trip, family life, commercial affairs.
Currently on the market, multi-platform task management system by all kinds of means is few, and not intelligence.Some have task management functions
Software, it is necessary to which the input of relatively complicated task, inconvenient to use.
To find out its cause, it is because with the development of social economy's science and technology, white collar is faced with different occasions, random time, no
" bombing " of same channel, different department task notifications anywhere or anytime.Why difficult traditionally on paper, the task management system of electronics be
To meet modern and business people's needs, greatly the reason is that task sources are different so that mission bit stream typing
Heavy workload, can not by all kinds of means intelligent input, multi-platform synchronization and artificial intelligence technology can not be lacked.
The content of the invention
The object of the present invention is to provide a kind of multi-platform task management system by all kinds of means based on deep learning, which carries
The task data in existing a variety of tools of communications is taken, and task data is handled, forms appointing for user's unified view
Business report, convenient for user is reminded to perform corresponding task.
To achieve the above object, the present invention provides following technical scheme：
A kind of multi-platform task management system by all kinds of means based on deep learning, including subscription client and the user
The server of client communication connection, the management client being connected with the server communication,
The subscription client obtains task data, task data described in statistical analysis, generation personal task report and
People recommends task report, and the personal task report is used to prompt to remind user in the current time stage, and the individual recommends to appoint
Business report is used to prompt to remind user in the future time stage, and sends the task data, personal task report, personal recommendation
Task report to the server with store with it is multi-platform synchronous；
The server is counted, analyzed and learnt to the task data of each user using deep learning mode, raw
Into public recommendation task report, and the public recommendation task report is sent to the subscription client to prompt to remind user；
The management client realizes the information management, user authority management and safety management to user in server, right
The update of public recommendation task report and issue some common notifications.
Compared with prior art, the present invention have the advantage that for：
The communication information by all kinds of means is integrated into a task report by the system, realizes the task reminders to user, energy
The trouble that user checks the mission bit stream of multiple meanss of communication is enough reduced, avoids missing task, and system also has prompting function,
Doing for task can will be needed to be pushed to user in the form of recommending task report within the period before, whether to remind user
Do corresponding task.
Description of the drawings
Fig. 1 is the structure diagram for the multi-platform task management system by all kinds of means based on deep learning that embodiment provides；
Fig. 2 is the structure diagram for the subscription client that embodiment provides；
Fig. 3 is the structure diagram for the server that embodiment provides；
Fig. 4 is the structure diagram for the management client that embodiment provides.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention more comprehensible, this hair with reference to the accompanying drawings and embodiments
It is bright to be described in further detail.It should be appreciated that the specific embodiments described herein are only used to explain the present invention, and
Do not limit protection scope of the present invention.
Fig. 1 is the structure diagram for the multi-platform task management system by all kinds of means based on deep learning that embodiment provides.
Referring to Fig. 1, task management system provided in this embodiment includes：Including subscription client 101 and the subscription client 101
The server 102 of communication connection, the management client 103 with the server 102 communication connection,
The subscription client 101 obtains task data, task data described in statistical analysis, generation personal task report and
Personal recommendation task report, the personal task report are used to prompt to remind user, the personal recommendation in the current time stage
Task report is used to prompt to remind user in the future time stage, and send the task data, personal task report, individual push away
Recommend task report to the server 102 with store with it is multi-platform synchronous；
The server 102 is counted, analyzed and learnt to the task data of each user using deep learning mode,
Public recommendation task report is generated, and sends the public recommendation task report to the subscription client 101 to prompt to remind
User；
The management client 103 realizes the information management to each user in server 102, user authority management and safety
Management, update to public recommendation task report and issues some common notifications.
In the present embodiment, communication connection can be the existing communication technology such as wired and wireless.Subscription client 101 is can
To be integrated into the electronic equipment of communication function, it is specifically as follows computer, mobile phone, tablet etc., it is various due to electronic equipment
Property, form the multi-platform of task source.Specifically, the platform includes at least computer, mobile phone, tablet.
In the present embodiment, task data can also be either the data that user is manually entered by interface from existing
Means of communication in directly transfer, analyze and change the task data of confirmation, means of communication include at least mailbox, short message, wechat,
QQ, website.It therefore, can be from obtaining task data by all kinds of means.
The communication information by all kinds of means is integrated into a task report by system provided in this embodiment, is realized to user's
Task reminders can reduce the trouble that user checks the mission bit stream of multiple meanss of communication, avoid missing task, and system also has
There is prompting function, doing for task can will be needed to be pushed to user in the form of recommending task report within the period before, with
Remind whether user does corresponding task.
Fig. 2 is the structure diagram for the subscription client that embodiment provides.Referring to Fig. 1, user visitor provided in this embodiment
Family end 101 includes：
Registration module 201, for filling in the log-on message of user online, the user's registration information include user's pet name,
Name, cell-phone number, mailbox and password；
Receiving module 202 for receiving task data input by user, is additionally operable to receive public recommendation task report；
Task acquisition module 203 for obtaining communication data from means of communication, and identifies the communication data, generation
Pre- task data after user confirms the pre- task data modification, generates task data；
Personal task report generation module 204 for carrying out statistical analysis to the task data, generates personal task report
Table；
Personal recommendation task report generation module 205, for being united using deep learning mode to the task data
Meter analysis and study generate personal recommendation task report；
Display module 206, for showing the task data, personal task report and personal recommendation task report, public affairs
Recommend task report altogether；
Sending module 207, for sending the task data, personal task report and personal recommendation task report to institute
Server is stated to store；
Synchronization module 208, for the data of synchronous subscription client and server；
Help module 209, backup, the acquisition server, the management for feedback, data of the user to encountering problems are objective
The newer information in family end and the update for obtaining APP.
Before application, user is by registration module registered user's information of subscription client, in this way, in server 102
The storage address of the user can be formed, for storing the task data of the user's synchronized upload and user's registration information.
To expand the diversity of application, from two ways, first way is exactly the task data in the present embodiment
The task data directly inputted by the reception user of receiving module 202, another way are logical in means of communication by transferring
Letter data, the task data extracted from communication data.
In the present embodiment, using the form of plug-in unit, the communication data in each means of communication is directly transferred, it so can be square
Just communication data, is transferred exactly.
Due to can there are many communication datas, not all communication data to contain number of tasks in means of communication
According to therefore, it is necessary to communication data is handled.Using the instrument of existing text handling method to the number that communicates in the present embodiment
According to screening is identified, pre- task data is generated, during identifying screening generation to communication data, the pre- task of generation
Data can be incorrect there are sentence, the inaccurate situation of the expression meaning, at this point, user can be directly to the pre- task data of display
Modification is adjusted, generates task data after determining, such operation can ensure the accuracy of task data.
In the present embodiment, the task data includes at least following information：When classification of task, task names, task cut-off
Between and task place.It also means that, every task input by user includes at least classification of task, task names, task section
Only time and task place.When the identification screening generation communication data of task acquisition module 203, task point is at least obtained
Class, task names, task deadline and task place.
The purpose of setting of personal task report generation module 204 is that multi-platform task data by all kinds of means is integrated into individual
In task report, open-and-shut personal task report is generated, realizes and user is timely summarized comprehensively.Personal task report is given birth to
The task data being both manually entered into the task data of the processing analysis of module 204 including user, further includes task acquisition module 203
The task data of generation.
In personal task report generation module 204, the process of specific generation task report is：
Within the user-defined period, by task names, classification of task, task deadline and task place with
The form of form is enumerated, and can be classified and be sorted by task names, classification of task, task deadline and task place.
In the present embodiment, the task report includes at least year personal task report, moon personal task report and week
People's task report.User can transfer corresponding personal task report and be checked automatically as needed.
Fig. 3 is the structure diagram for the server that embodiment provides.Referring to Fig. 2, server 102 provided in this embodiment wraps
It includes：
Receiving module 301, for receiving the task data that the subscription client is sent；
Personal memory module 302, for store the task data, personal task report, personal recommendation task report with
And user account information；
Common memory means 303, for storing the public recommendation task report based on different type sorted users；
Consumers' opinions feedback module 304, for storing field feedback；
User ID data module 305, for backing up the task data of individual account；
Public recommendation task report generation module 306 unites to the task data of each user using deep learning mode
Meter, analysis, generate the public recommendation task report based on different type sorted users；
Sending module 307 is used for sending the public recommendation task report to the subscription client with prompting to remind
Family.
Existing task has diversity and periodicity, and perhaps others' task is exactly your task, current to need what is done
Task perhaps in this period of next year, still mainly does identical task, therefore, in server 102, is pushed away equipped with public
Task report generation module 306 is recommended, the purpose of the module is exactly that unification is carried out to the task data of all users in the system
Statistical analysis, generate a public recommendation task report, the recommendation task report can recommend the moon task report or
All recommendation task reports etc..User is regularly recommended, to remind whether user performs corresponding task.
In public task report generation module 306, the process of specific generation recommendation task report is：
First, task names, classification of task, task deadline and task place in user task report is calculated to occur
Frequency data, be multiplied by weight a；
Then, common user tasks are calculated and recommends task names, classification of task, task deadline and task in report
The frequency data that place occurs, are multiplied by weight b；
It is added next, above-mentioned frequency data are multiplied by weight and are corresponded to, show that predicted value sorts, selected to user.Then
According to this actual selection value of user, weight a, b is adjusted, makes it closest to this actual selection value.
Finally, continuous loop iteration generates public recommendation task report more than.
Fig. 4 is the structure diagram for the management client that embodiment provides.Referring to Fig. 4, management visitor provided in this embodiment
Family end includes：
Information management module 401 is used to implement information inquiry, management, simple statistics analysis to user；
User authority management module 402 is used to implement the rights management to user；
Safety management 403 is used to implement the safety management to user data；
Update module 404 is used to implement the update to public recommendation task report；
Notification module 405, for issuing some common notifications.
Task management system provided in this embodiment is easy to operate, can utilize the progress such as computer, mobile phone, webpage whenever and wherever possible
Task such as inputs, changes, checking at the management；It is easy to use, by installing plug-in unit on different software, you can intelligent capture difference channel
Notice and task use, intelligence generate task；Multi-platform synchronization can be checked, updates, track personal task whenever and wherever possible；Altogether
It enjoys, has the household of certain permission or friend that can log in the mission bit stream of checking, update, tracking user.With adapt to family and
Commercial affairs need；Utilize depth learning technology.It is trained by depth learning technology and statistical analysis, user can be whenever and wherever possible
Check the workload in oneself a period of time.By big data analysis, planning proposal and reference are provided to the user.
Technical scheme and advantageous effect is described in detail in above-described specific embodiment, Ying Li
Solution is the foregoing is merely presently most preferred embodiment of the invention, is not intended to limit the invention, all principle models in the present invention
Interior done any modification, supplementary, and equivalent replacement etc. are enclosed, should all be included in the protection scope of the present invention.
Claims (7)
1. a kind of multi-platform task management system by all kinds of means based on deep learning, including subscription client and user visitor
The server of family end communication connection, the management client being connected with the server communication, which is characterized in that
The subscription client obtains task data, and task data described in statistical analysis, generates personal task report and individual pushes away
Task report is recommended, the personal task report is used to prompt to remind user, individual's recommendation task report in the current time stage
Table is used to prompt to remind user in the future time stage, and sends the task data, personal task report, personal recommendation task
Report to the server with store with it is multi-platform synchronous；
The server is counted, analyzed and learnt to the task data of each user using deep learning mode, and generation is public
Recommend task report altogether, and send the public recommendation task report to the subscription client to prompt to remind user；
The management client realizes the information management, user authority management and safety management to user in server, to public
The update of recommendation task report and issue some common notifications.
2. the multi-platform task management system by all kinds of means based on deep learning as described in claim 1, which is characterized in that described
Subscription client includes：
Registration module, for filling in the log-on message of user online, the user's registration information includes user's pet name, name, hand
Machine number, mailbox and password；
Receiving module for receiving task data input by user, is additionally operable to receive public recommendation task report；
Task acquisition module for obtaining communication data from means of communication, and identifies the communication data, generates pre- number of tasks
According to, after user confirms the pre- task data modification, generation task data；
Personal task report generation module for carrying out statistical analysis to the task data, generates personal task report；
Personal recommendation task report generation module, for using deep learning mode to the task data carry out statistical analysis and
Study generates personal recommendation task report；
Display module, for showing that the task data, personal task report and personal recommendation task report, public recommendation are appointed
Business report；
Sending module, for sending the task data, personal task report and personal recommendation task report to the service
Device is to store；
Synchronization module, for the data of synchronous subscription client and server；
Help module, for user to the backup of the feedback, data that encounter problems, obtain the server, management client more
The update of new information and acquisition APP.
3. the multi-platform task management system by all kinds of means based on deep learning as claimed in claim 2, which is characterized in that described
Platform includes at least computer, mobile phone, tablet；The means of communication includes at least mailbox, short message, wechat, QQ, website, MSN.
4. the multi-platform task management system by all kinds of means based on deep learning as claimed in claim 2, which is characterized in that described
Task data includes at least following information：Classification of task, task names, task deadline and task place.
5. the multi-platform task management system by all kinds of means based on deep learning as claimed in claim 2, which is characterized in that described
Personal task report includes at least year personal task report, moon personal task report and all personal task reports.
6. the multi-platform task management system by all kinds of means based on deep learning as described in claim 1, which is characterized in that described
Server includes：
Receiving module, for receiving the task data that the subscription client is sent；
Personal memory module, for storing the task data, personal task report, personal recommendation task report and user's account
Family information；
Common memory means, for storing the public recommendation task report based on different type sorted users；
Consumers' opinions feedback module, for storing field feedback；
User ID data module, for backing up the task data of individual account；
Public recommendation task report generation module counts the task data of each user using deep learning mode, is analyzed,
Generate the public recommendation task report based on different type sorted users；
Sending module, for send the public recommendation task report to the subscription client with prompt remind user.
7. the multi-platform task management system by all kinds of means based on deep learning as described in claim 1, which is characterized in that described
Management client includes：
Information management module is used to implement information inquiry, management, simple statistics analysis to user；
User authority management module is used to implement the rights management to user；
Safety management is used to implement the safety management to user data；
Update module is used to implement the update to public recommendation task report；
Notification module, for issuing some common notifications.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711288502.9A CN108122093B (en) | 2017-12-07 | 2017-12-07 | Multi-platform multi-channel task management system based on deep learning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711288502.9A CN108122093B (en) | 2017-12-07 | 2017-12-07 | Multi-platform multi-channel task management system based on deep learning |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108122093A true CN108122093A (en) | 2018-06-05 |
| CN108122093B CN108122093B (en) | 2021-06-22 |
Family
ID=62229743
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711288502.9A Active CN108122093B (en) | 2017-12-07 | 2017-12-07 | Multi-platform multi-channel task management system based on deep learning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108122093B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110717727A (en) * | 2019-09-02 | 2020-01-21 | 深圳壹账通智能科技有限公司 | Information processing method and device based on multiple platforms, computer equipment and storage medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101271548A (en) * | 2008-04-22 | 2008-09-24 | 盛中华 | Distributed multimedia task management system based on workflow and its implementing method |
| US20100293136A1 (en) * | 2009-05-12 | 2010-11-18 | Canon Kabushiki Kaisha | Document management system |
| CN102246588A (en) * | 2008-12-19 | 2011-11-16 | 帕姆公司 | Access and management of cross-platform calendars |
| CN103703481A (en) * | 2013-02-28 | 2014-04-02 | 观致汽车有限公司 | Calendar events develop, reminder, navigation method and system thereof |
| CN103854168A (en) * | 2014-02-17 | 2014-06-11 | 湖南中烟工业有限责任公司 | Heterogeneous process to-do task centralized processing method and device |
| CN104778545A (en) * | 2015-04-08 | 2015-07-15 | 深圳市科陆电子科技股份有限公司 | Work task management system based on mobile equipment |
| CN106022729A (en) * | 2016-05-26 | 2016-10-12 | 湖南洋达信息科技有限公司 | Schedule management system |
| CN106127457A (en) * | 2016-06-30 | 2016-11-16 | 乐视控股（北京）有限公司 | Cloud calendar system and the implementation method of cloud calendar |
| CN107346467A (en) * | 2017-06-01 | 2017-11-14 | 广西群创科技有限公司 | A kind of work plan management system |
| CN107426287A (en) * | 2017-05-14 | 2017-12-01 | 吉林工程技术师范学院 | A kind of new media public service platform |
-
2017
- 2017-12-07 CN CN201711288502.9A patent/CN108122093B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101271548A (en) * | 2008-04-22 | 2008-09-24 | 盛中华 | Distributed multimedia task management system based on workflow and its implementing method |
| CN102246588A (en) * | 2008-12-19 | 2011-11-16 | 帕姆公司 | Access and management of cross-platform calendars |
| US20100293136A1 (en) * | 2009-05-12 | 2010-11-18 | Canon Kabushiki Kaisha | Document management system |
| CN103703481A (en) * | 2013-02-28 | 2014-04-02 | 观致汽车有限公司 | Calendar events develop, reminder, navigation method and system thereof |
| CN103854168A (en) * | 2014-02-17 | 2014-06-11 | 湖南中烟工业有限责任公司 | Heterogeneous process to-do task centralized processing method and device |
| CN104778545A (en) * | 2015-04-08 | 2015-07-15 | 深圳市科陆电子科技股份有限公司 | Work task management system based on mobile equipment |
| CN106022729A (en) * | 2016-05-26 | 2016-10-12 | 湖南洋达信息科技有限公司 | Schedule management system |
| CN106127457A (en) * | 2016-06-30 | 2016-11-16 | 乐视控股（北京）有限公司 | Cloud calendar system and the implementation method of cloud calendar |
| CN107426287A (en) * | 2017-05-14 | 2017-12-01 | 吉林工程技术师范学院 | A kind of new media public service platform |
| CN107346467A (en) * | 2017-06-01 | 2017-11-14 | 广西群创科技有限公司 | A kind of work plan management system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110717727A (en) * | 2019-09-02 | 2020-01-21 | 深圳壹账通智能科技有限公司 | Information processing method and device based on multiple platforms, computer equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108122093B (en) | 2021-06-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101821710B (en) | System, method and graphical user interface for workflow generation, deployment and/or execution | |
| CN109688046A (en) | Issue management method, apparatus, equipment and storage medium | |
| CN104536965B (en) | A kind of data query display systems under the conditions of big data and method | |
| CN101821709A (en) | System, method and graphical user interface for workflow generation, deployment and/or execution | |
| CN101477449A (en) | Printing management system and method | |
| CN111917560B (en) | Communication method, device and equipment | |
| CN102567299A (en) | Using text messages to interact with spreadsheets | |
| CN102375858A (en) | Intelligent working space | |
| CN104463449A (en) | Student schoolwork supervising system | |
| CN106533914A (en) | Message notification method and apparatus | |
| CN105353960A (en) | Talent platform-based interaction method and system and talent interaction platform | |
| CN112396397A (en) | Operation and maintenance affair collection and management system | |
| Van Vleck | Electronic mail and text messaging in CTSS, 1965-1973 | |
| CN115237857A (en) | Log processing method and device, computer equipment and storage medium | |
| CN110168589A (en) | For tracking, capturing and the method and apparatus of across multiple equipment synchronous movement data | |
| CN207571788U (en) | A kind of university's scientific research information sharing system | |
| CN108122093A (en) | A kind of multi-platform task management system by all kinds of means based on deep learning | |
| CN104793570A (en) | Portable motor train unit fault processing support equipment and portable motor train unit fault processing support system | |
| CN102664941A (en) | Terminal reminding system and method | |
| CN110895739A (en) | System for automatically generating evaluation report and work flow thereof | |
| EP2830289B1 (en) | Adaptable reporting in a multi-client telecommunication network | |
| CN104778520B (en) | High in the clouds Enterprise Information Platform application system | |
| CN105721586A (en) | Information intelligent distribution device, method and system | |
| US20180308049A1 (en) | Equipment and inventory management systems and methods | |
| Xiao et al. | [Retracted] Design and Implementation of Office Automation System Based on Internet of Things Technology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |