CN112116748A - Red and blue lamp body driving system utilizing cloud computing - Google Patents
Red and blue lamp body driving system utilizing cloud computing Download PDFInfo
- Publication number
- CN112116748A CN112116748A CN202010126573.4A CN202010126573A CN112116748A CN 112116748 A CN112116748 A CN 112116748A CN 202010126573 A CN202010126573 A CN 202010126573A CN 112116748 A CN112116748 A CN 112116748A
- Authority
- CN
- China
- Prior art keywords
- red
- blue
- lamp body
- equipment
- cloud computing
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/2008—Testing patterns thereon using pre-processing, e.g. de-blurring, averaging, normalisation or rotation
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/20—Testing patterns thereon
- G07D7/202—Testing patterns thereon using pattern matching
- G07D7/206—Matching template patterns
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Inspection Of Paper Currency And Valuable Securities (AREA)
Abstract
The invention relates to a red and blue lamp body driving system utilizing cloud computing, which comprises: the red and blue indicating mechanism comprises a red indicating lamp, a blue indicating lamp and a lamp body driver, and the lamp body driver is respectively connected with the red indicating lamp and the blue indicating lamp; the data extraction equipment is used for carrying out on-site image data acquisition operation on the paper money below the data extraction equipment so as to obtain and output a corresponding on-site paper money image; the lamp body driver is used for driving the red indicator light to work and turning off the blue indicator light when receiving the counterfeit money identification signal. The red and blue lamp body driving system utilizing cloud computing is reliable in principle and effective in data. The numerical analysis mechanism of mean value analysis and mean square value analysis is introduced to identify the authenticity of the on-site paper money, so that the accidents of missed detection or false detection are avoided.
Description
Technical Field
The invention relates to the field of cloud computing, in particular to a red and blue lamp body driving system utilizing cloud computing.
Background
The concept of cloud computing has been proposed today for almost 10 years. During the 10 years, cloud computing has achieved rapid development and changes in the area covered by the sky. Cloud computing is now seen as a revolution in the field of computer networking, as it has emerged, the way society works and business models are changing dramatically.
Tracing the root of cloud computing, the generation and development of which are closely related to the aforementioned computer technologies such as parallel computing, distributed computing, and the like, all promote the growth of cloud computing. However, going back to the history of cloud computing, christopherstrache published a paper about virtualization as virtualization was formally proposed, as 1956. Virtualization is the core of the cloud computing infrastructure today and is the basis for the development of cloud computing. And then with the development of network technology, the germination of cloud computing is gradually inoculated.
In the prior art, the authenticity of the bank note is identified or is artificially identified, or the identification mechanism is simple and crazy, so that the identification result is lack of authenticity, and if the cloud computing technology can be used for the visual detection of the bank note, various advantages of the cloud computing technology can be effectively exerted.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides a red and blue lamp body driving system utilizing cloud computing, which can effectively identify the authenticity of on-site paper money by adopting a numerical analysis mode, thereby reducing the difficulty of paper money identification and avoiding the inflow of counterfeit paper money into the market.
Therefore, the invention needs to have the following two key points:
(1) carrying out numerical analysis based on mean value and mean square deviation on the imaging area of the on-site paper money and the imaging image of the paper money electronic plate so as to effectively identify the authenticity of the on-site paper money;
(2) prior to performing bill identification, performing shape adjustment on the in-situ bill imaging area based on the length and width of the imaged image of the electronic version of the bill and the length and width of the in-situ bill imaging area such that the shape of the in-situ bill imaging area is the same as the shape of the imaged image.
According to an aspect of the present invention, there is provided a red and blue lamp body driving system using cloud computing, the system including:
the red and blue indicating mechanism comprises a red indicating lamp, a blue indicating lamp and a lamp body driver, wherein the lamp body driver is respectively connected with the red indicating lamp and the blue indicating lamp.
More specifically, in the red and blue lamp body driving system using cloud computing, further comprising:
and the data extraction equipment is used for performing on-site image data acquisition operation on the paper money below the data extraction equipment so as to obtain and output a corresponding on-site paper money image.
More specifically, in the red and blue lamp body driving system using cloud computing, further comprising:
the object analysis equipment is realized by adopting a cloud computing node, is connected with the data extraction equipment through a network, and is used for receiving the on-site banknote image and analyzing an object with the area within a preset banknote imaging area range in the on-site banknote image as a reference object so as to obtain an imaging area of the object in the on-site banknote image;
a region scaling device, connected to the object analysis device via a network, for performing shape adjustment on the imaging region based on the length and width of the imaging image of the banknote electronic edition and the length and width of the imaging region, so that the shape of the imaging region is the same as the shape of the imaging image;
a difference processing device connected to the region scaling device, configured to perform the following operations for the imaged image and the shape-adjusted imaged region: taking the absolute value of the difference of the pixel values of the pixel points at the same position to obtain a reference value of the corresponding position;
the signal identification equipment is respectively connected with the red and blue indicating mechanism and the difference value processing equipment and is used for sending a counterfeit money identification signal when the mean value of each reference value corresponding to each position of the imaging image exceeds a preset mean value threshold value and the mean square error exceeds a preset mean square error threshold value, or sending a genuine money identification signal;
wherein, for the imaged image, each position is a position occupied in the imaged image by a different pixel point constituting the imaged image;
the lamp body driver is also used for turning off the red indicator lamp to work and driving the blue indicator lamp when receiving a true banknote identification signal;
the lamp body driver is used for driving the red indicator light to work and turning off the blue indicator light when receiving a counterfeit money identification signal.
The red and blue lamp body driving system utilizing cloud computing is reliable in principle and effective in data. The numerical analysis mechanism of mean value analysis and mean square value analysis is introduced to identify the authenticity of the on-site paper money, so that the accidents of missed detection or false detection are avoided.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a block diagram showing a configuration of a red and blue lamp body driving system using cloud computing according to a first embodiment of the present invention.
Fig. 2 is an internal structural view showing a red-blue indicating mechanism used in a red-blue lamp body driving system using cloud computing according to an embodiment of the present invention.
Fig. 3 is a flowchart illustrating steps of a red and blue lamp body driving method using cloud computing according to a second embodiment of the present invention.
Detailed Description
Embodiments of a red and blue lamp body driving system using cloud computing according to the present invention will be described in detail with reference to the accompanying drawings.
At present, the principle of currency detection such as a currency detector is simple and rough, or the detection based on light detection or anti-counterfeiting strips can provide false loopholes for false currency manufacturers, if the numerical analysis is carried out on the whole paper currency, the accuracy degree of the identification of the paper currency can be improved, and the difficulty is increased for the manufacture of the false currency.
In order to overcome the defects, the invention builds a red and blue lamp body driving system utilizing cloud computing, and can effectively solve the corresponding technical problems.
In order to facilitate understanding of the technical content of the present invention, the following two different embodiments are adopted to respectively describe the technical solutions of the present invention from different angles.
< first embodiment >
Fig. 1 is a block diagram showing a configuration of a red and blue lamp body driving system using cloud computing according to a first embodiment of the present invention, the system including:
the red and blue indicating mechanism comprises a red indicating lamp, a blue indicating lamp and a lamp body driver, and the lamp body driver is respectively connected with the red indicating lamp and the blue indicating lamp;
as shown in fig. 2, the red and blue indicating mechanism includes a lamp body driver for driving the red indicator light and the blue indicator light simultaneously;
in fig. 2, the red indicator light includes a red LED, a bridge rectifier unit, a capacitor unit, and a resistor unit, and similarly, the blue indicator light includes a blue LED, a bridge rectifier unit, a capacitor unit, and a resistor unit;
the data extraction equipment is used for carrying out on-site image data acquisition operation on the paper money below the data extraction equipment so as to obtain and output a corresponding on-site paper money image;
the object analysis equipment is realized by adopting a cloud computing node, is connected with the data extraction equipment through a network, and is used for receiving the on-site banknote image and analyzing an object with the area within a preset banknote imaging area range in the on-site banknote image as a reference object so as to obtain an imaging area of the object in the on-site banknote image;
a region scaling device, connected to the object analysis device via a network, for performing shape adjustment on the imaging region based on the length and width of the imaging image of the banknote electronic edition and the length and width of the imaging region, so that the shape of the imaging region is the same as the shape of the imaging image;
a difference processing device connected to the region scaling device, configured to perform the following operations for the imaged image and the shape-adjusted imaged region: taking the absolute value of the difference of the pixel values of the pixel points at the same position to obtain a reference value of the corresponding position;
the signal identification equipment is respectively connected with the red and blue indicating mechanism and the difference value processing equipment and is used for sending a counterfeit money identification signal when the mean value of each reference value corresponding to each position of the imaging image exceeds a preset mean value threshold value and the mean square error exceeds a preset mean square error threshold value, or sending a genuine money identification signal;
wherein, for the imaged image, each position is a position occupied in the imaged image by a different pixel point constituting the imaged image;
the lamp body driver is also used for turning off the red indicator lamp to work and driving the blue indicator lamp when receiving a true banknote identification signal;
the lamp body driver is used for driving the red indicator light to work and turning off the blue indicator light when receiving a counterfeit money identification signal.
Next, a detailed description will be made of a specific structure of the red and blue lamp body driving system using cloud computing according to the present invention.
The red and blue lamp body driving system utilizing cloud computing can further comprise: and the power line transmission interface is respectively connected with the area scaling equipment and the difference value processing equipment and is used for receiving and forwarding output data of all sensors of each of the area scaling equipment and the difference value processing equipment.
The red and blue lamp body driving system utilizing cloud computing can further comprise: the dust measuring instrument is arranged near the area scaling equipment and used for measuring the dust concentration of the environment where the area scaling equipment is located; the concentration analysis equipment is connected with the dust measuring instrument and used for sending out a concentration alarm instruction when the received dust concentration exceeds the limit; and the alarm execution equipment is connected with the concentration analysis equipment and is used for executing corresponding alarm operation when receiving the concentration alarm instruction.
< second embodiment >
Fig. 3 is a flowchart illustrating steps of a red and blue lamp body driving method using cloud computing according to a second embodiment of the present invention, the method including the steps of:
s301: the red and blue indicating mechanism comprises a red indicating lamp, a blue indicating lamp and a lamp body driver, wherein the lamp body driver is respectively connected with the red indicating lamp and the blue indicating lamp, and the internal structure of the red and blue indicating mechanism is shown in FIG. 2;
s302: using a data extraction device for performing on-site image data acquisition operation on the paper money below the data extraction device to obtain and output a corresponding on-site paper money image;
s303: the method is implemented by using object analysis equipment and adopting a cloud computing node, is connected with the data extraction equipment through a network and is used for receiving the on-site banknote image, and analyzing an object with the area within a preset banknote imaging area range in the on-site banknote image as a reference object so as to obtain an imaging area of the object in the on-site banknote image;
s304: using an area scaling device, networked with the object analysis device, for performing shape adjustment on the imaging area based on the length and width of the imaged image of the banknote electrographic and the length and width of the imaging area, so that the shape of the imaging area is the same as the shape of the imaged image;
s305: using a difference processing device, connected to the region scaling device, for performing the following operations for the imaged image and the shape-adjusted imaged region: taking the absolute value of the difference of the pixel values of the pixel points at the same position to obtain a reference value of the corresponding position;
s306: the signal identification equipment is respectively connected with the red and blue indicating mechanism and the difference value processing equipment and is used for sending a counterfeit money identification signal when the mean value of each reference value corresponding to each position of the imaging image exceeds a preset mean value threshold and the mean square error exceeds a preset mean square error threshold, or sending a genuine money identification signal;
wherein, for the imaged image, each position is a position occupied in the imaged image by a different pixel point constituting the imaged image;
the lamp body driver is also used for turning off the red indicator lamp to work and driving the blue indicator lamp when receiving a true banknote identification signal;
the lamp body driver is used for driving the red indicator light to work and turning off the blue indicator light when receiving a counterfeit money identification signal.
Next, the specific steps of the red and blue lamp body driving method using cloud computing according to the present invention will be further described.
The method for driving the red and blue lamp bodies by using cloud computing may further include: and the power line transmission interface is respectively connected with the area scaling equipment and the difference value processing equipment and used for receiving and forwarding the output data of all the sensors of each of the area scaling equipment and the difference value processing equipment.
The method for driving the red and blue lamp bodies by using cloud computing may further include: using a dust measuring instrument, arranged in the vicinity of the area scaling device, for measuring the dust concentration of the environment in which the area scaling device is located; the using concentration analysis equipment is connected with the dust measuring instrument and used for sending a concentration alarm instruction when the received dust concentration exceeds the limit; and the alarm execution equipment is connected with the concentration analysis equipment and used for executing corresponding alarm operation when receiving the concentration alarm instruction.
In addition, the area scaling device is a programmable logic device designed by adopting VHDL language.
VHDL is mainly used to describe the structure, behavior, functionality and interfaces of digital systems. Except for the fact that it contains many statements with hardware features, the linguistic form, description style, and syntax of VHDL are very similar to a general computer high-level language. The structural features of the VHDL program are to divide an engineering design, or design entity (which may be a component, a circuit module or a system) into an external (or visible part, and port) and an internal (or invisible part), which relate to the internal functions and algorithm completion of the entity. After an external interface is defined for a design entity, once its internal development is complete, other designs can invoke the entity directly. This concept of dividing the design entity into inner and outer parts is the fundamental point of VHDL system design. VHDL has powerful language structure, and can describe complex logic control by simple and clear source code. The method has a multi-level design description function, is refined layer by layer, and can directly generate circuit level description. VHDL supports the design of synchronous, asynchronous, and random circuits, which is incomparable with other hardware description languages. VHDL also supports various design methods, both bottom-up and top-down; the method supports both modular design and hierarchical design.
Finally, it should be noted that each functional device in the embodiments of the present invention may be integrated into one processing device, or each device may exist alone physically, or two or more devices may be integrated into one device.
The functions, if implemented in the form of software-enabled devices and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (5)
1. A red and blue light body driving system using cloud computing, the system comprising:
the red and blue indicating mechanism comprises a red indicating lamp, a blue indicating lamp and a lamp body driver, wherein the lamp body driver is respectively connected with the red indicating lamp and the blue indicating lamp.
2. The red and blue lamp body driving system using cloud computing according to claim 1, wherein said system further comprises:
and the data extraction equipment is used for performing on-site image data acquisition operation on the paper money below the data extraction equipment so as to obtain and output a corresponding on-site paper money image.
3. The red and blue light body driving system using cloud computing according to claim 2, wherein the system further comprises:
the object analysis equipment is realized by adopting a cloud computing node, is connected with the data extraction equipment through a network, and is used for receiving the on-site banknote image and analyzing an object with the area within a preset banknote imaging area range in the on-site banknote image as a reference object so as to obtain an imaging area of the object in the on-site banknote image;
a region scaling device, connected to the object analysis device via a network, for performing shape adjustment on the imaging region based on the length and width of the imaging image of the banknote electronic edition and the length and width of the imaging region, so that the shape of the imaging region is the same as the shape of the imaging image;
a difference processing device connected to the region scaling device, configured to perform the following operations for the imaged image and the shape-adjusted imaged region: taking the absolute value of the difference of the pixel values of the pixel points at the same position to obtain a reference value of the corresponding position;
the signal identification equipment is respectively connected with the red and blue indicating mechanism and the difference value processing equipment and is used for sending a counterfeit money identification signal when the mean value of each reference value corresponding to each position of the imaging image exceeds a preset mean value threshold value and the mean square error exceeds a preset mean square error threshold value, or sending a genuine money identification signal;
wherein, for the imaged image, each position is a position occupied in the imaged image by a different pixel point constituting the imaged image;
the lamp body driver is also used for turning off the red indicator lamp to work and driving the blue indicator lamp when receiving a true banknote identification signal;
the lamp body driver is used for driving the red indicator light to work and turning off the blue indicator light when receiving a counterfeit money identification signal.
4. The red and blue lamp body driving system using cloud computing according to claim 3, further comprising:
and the power line transmission interface is respectively connected with the area scaling equipment and the difference value processing equipment and is used for receiving and forwarding output data of all sensors of each of the area scaling equipment and the difference value processing equipment.
5. The red and blue lamp body driving system using cloud computing according to claim 4, further comprising:
the dust measuring instrument is arranged near the area scaling equipment and used for measuring the dust concentration of the environment where the area scaling equipment is located;
the concentration analysis equipment is connected with the dust measuring instrument and used for sending out a concentration alarm instruction when the received dust concentration exceeds the limit;
and the alarm execution equipment is connected with the concentration analysis equipment and is used for executing corresponding alarm operation when receiving the concentration alarm instruction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010126573.4A CN112116748A (en) | 2020-02-28 | 2020-02-28 | Red and blue lamp body driving system utilizing cloud computing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010126573.4A CN112116748A (en) | 2020-02-28 | 2020-02-28 | Red and blue lamp body driving system utilizing cloud computing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112116748A true CN112116748A (en) | 2020-12-22 |
Family
ID=73798735
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010126573.4A Pending CN112116748A (en) | 2020-02-28 | 2020-02-28 | Red and blue lamp body driving system utilizing cloud computing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112116748A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101405772A (en) * | 2006-03-16 | 2009-04-08 | 阿鲁策株式会社 | Bank note authenticating method and bank note authenticating device |
| CN104299313A (en) * | 2014-11-04 | 2015-01-21 | 浙江大学 | Paper money identification method, device and system |
| CN104916029A (en) * | 2014-03-13 | 2015-09-16 | 广州南沙资讯科技园有限公司博士后科研工作站 | Paper money verification system and paper money verification method based on system |
| JP2016015668A (en) * | 2014-07-03 | 2016-01-28 | セイコーエプソン株式会社 | Image processing device, image processing method and program |
| CN106920318A (en) * | 2017-03-07 | 2017-07-04 | 深圳怡化电脑股份有限公司 | The discrimination method and device of a kind of bank note |
| CN106952393A (en) * | 2017-03-28 | 2017-07-14 | 深圳怡化电脑股份有限公司 | Paper Currency Identification and device, electronic equipment and storage medium |
| CN206610374U (en) * | 2017-04-28 | 2017-11-03 | 光荣电子工业（苏州）有限公司 | A kind of cleaning-sorting machine for being capable of detection money back coin type |
-
2020
- 2020-02-28 CN CN202010126573.4A patent/CN112116748A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101405772A (en) * | 2006-03-16 | 2009-04-08 | 阿鲁策株式会社 | Bank note authenticating method and bank note authenticating device |
| CN104916029A (en) * | 2014-03-13 | 2015-09-16 | 广州南沙资讯科技园有限公司博士后科研工作站 | Paper money verification system and paper money verification method based on system |
| JP2016015668A (en) * | 2014-07-03 | 2016-01-28 | セイコーエプソン株式会社 | Image processing device, image processing method and program |
| CN104299313A (en) * | 2014-11-04 | 2015-01-21 | 浙江大学 | Paper money identification method, device and system |
| CN106920318A (en) * | 2017-03-07 | 2017-07-04 | 深圳怡化电脑股份有限公司 | The discrimination method and device of a kind of bank note |
| CN106952393A (en) * | 2017-03-28 | 2017-07-14 | 深圳怡化电脑股份有限公司 | Paper Currency Identification and device, electronic equipment and storage medium |
| CN206610374U (en) * | 2017-04-28 | 2017-11-03 | 光荣电子工业（苏州）有限公司 | A kind of cleaning-sorting machine for being capable of detection money back coin type |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110010156A (en) | The sound event of modeling based on the sequence to event subdivision detects | |
| CN107437294B (en) | Character segmentation method, device, equipment and storage medium | |
| CN106663093A (en) | Techniques for automatically swapping languages and/or content for machine translation | |
| CN113381962B (en) | Data processing method, device and storage medium | |
| JPS60204086A (en) | Object discriminating device | |
| CN111159697B (en) | Key detection method and device and electronic equipment | |
| CA2503757A1 (en) | Method and apparatus for validation and error resolution of configuration data in a private branch exchange switch | |
| Hosny et al. | Copy‐for‐duplication forgery detection in colour images using QPCETMs and sub‐image approach | |
| CN109889682B (en) | Task demand cloud processing evaluation system and method | |
| CN112418345A (en) | Method and device for quickly identifying fine-grained small target | |
| WO2021183348A1 (en) | Partially resident bounding volume hierarchy | |
| CN101930401B (en) | Detection object-based software vulnerability model detection method | |
| CN107909747B (en) | Method and device for acquiring paper money information and terminal equipment | |
| CN112116748A (en) | Red and blue lamp body driving system utilizing cloud computing | |
| CN113409509A (en) | Red and blue lamp body driving method utilizing cloud computing | |
| CN111190235A (en) | Block chain information receiving and recording platform | |
| CN107358717B (en) | A kind of Paper Currency Identification, system and its terminal device | |
| CN115422352A (en) | Event label detection method based on similarity and element knowledge model fusion | |
| CN111985468A (en) | Code table pointer value detection method and device, electronic equipment and storage medium | |
| CN208848279U (en) | A kind of banknote image processing circuit | |
| KR20070023873A (en) | Vulnerability rule based system for software development | |
| US20170132278A1 (en) | Systems and Methods for Inferring Landmark Delimiters for Log Analysis | |
| CN111291726B (en) | Medical bill sorting method, device, equipment and medium | |
| CN112288941B (en) | System and method for measuring false coin suspicious degree based on block chain | |
| CN108332779A (en) | A kind of number reading method and relevant apparatus of liquid column type instrument |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20201222 |