CN105527303B - Utilize the method and system of millimeter wave detection material - Google Patents
Utilize the method and system of millimeter wave detection material Download PDFInfo
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- G01N22/00—Investigating or analysing materials by the use of microwaves or radio waves, i.e. electromagnetic waves with a wavelength of one millimetre or more
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- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
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Abstract
A kind of method and system using millimeter wave detection material, based on wireless network signal transmission technology, the step of the method, includes：Wireless receiving end receives the wireless signal from wireless transmitting terminals, and assesses received signal strength index；Characteristic value according to extraction classifies result using sorting algorithm；It is adjusted based on the result sorted out using feedback mechanism；Beneficial effects of the present invention：The present invention's can carry out common solid material as accurately identification；Using millimeter-wave technology, another strong guarantee is provided for the accuracy of detection, while the robustness of system is improved using algorithm.
Description
Technical field
The present invention relates to the information processing technology, more particularly to a kind of method and system using millimeter wave detection material.
Background technology
Nowadays, played an important role based on the detection of wireless signal in various occasions, as fall detection, human body gesture are known
Not, image objects etc., necessarily become as wireless communication spectrum resource is more and more nervous and message transmission rate is higher and higher
Under gesture, the 60GHz frequency range wireless short-range communication technologys also increasingly attract attention, and become most potential in future wireless system technology
One of technology.The wireless signal of 60GHZ frequencies has many workable spectrum signals, and microwave radio commu technology is because there is foot
Enough bandwidth resources, can be issued to higher transmission rate, performance is without using complex technology in relatively low signal-to-noise ratio
Other Radio Transmission Technology decades of times.Microwave communication techniques are promoted and applied in many fields.Existing material tests are set
Standby or metal detector is not since it Portable belt and can only detect that metal cannot go out specific material type respectively, with micro-
The popularization of ripple wireless communication technique, it is not necessary to which bulky equipment and easily deployment, millimeter wave rely primarily on transmitting terminal transmitting and receive
End receives, by contrast signal loss come identification material.
Existing metal detection method is the principle using electromagnetic induction, using the coil for having alternating current to pass through, is produced fast
Fast changing magnetic field, this magnetic field energy can induct vortex flow inside metal object, and vortex flow can produce magnetic field, turn shadow around again
Original magnetic field to be rung, triggers detector to send song, this detection method can be widely applied to processing industry, government bodies,
Public place of entertainment and entry and exit port, this metal detection method can only identify metal material, but which cannot specifically be identified
Kind metal material.In addition, existing metal detector is merely able to distinguish metal and nonmetallic well.If necessary to using simply
Equipment can to distinguish specifically which kind of material well also highly difficult.
The content of the invention
In order to solve the problems of the prior art, the present invention provides a kind of system using millimeter wave detection material and side
Method, solves the problems, such as that specific implementation and positioning performance are poor in the prior art.
The present invention is achieved by the following technical solutions：Design, manufactured and a kind of be using millimeter wave detection material
System, including transmitting terminal, for launching millimeter-wave signal to the object to be detected, and record the angle of transmitting terminal face material surface
Spend θ；Receiving terminal, for receiving the signal reflected and calculating RSS values；Judgment module, for according to transmitting terminal and receiving terminal
The information recorded, identifies detected material；Feedback module, will determine that result that module detects and known material into
Row compares；Display module, for showing by the material type detected by judgment module.
As a further improvement on the present invention：The number of the receiving terminal is one or more, when number is one
When by movement simulate aerial array；The receiving terminal tries to achieve subcarrier using OFDM.
As a further improvement on the present invention：In the judgment module, the angle that is recorded respectively according to transmitting terminal and receiving terminal
Degree and signal strength, are preferably matched using sorting algorithm.
As a further improvement on the present invention：The feedback module feedback is directed to the response message of the result of Classification and Identification,
Adjust sorting algorithm model.
As a further improvement on the present invention：The judgment module implements data point to the time series of channel condition information
Cut to obtain some subsequences, signal attenuation value is calculated according to subsequence；According to transmitting terminal to the incident angle of body surface and
Signal attenuation after reflection carrys out the substantially classification of judgment object.
Invention also provides a kind of method of the system using millimeter wave detection material, include the following steps：
（S101）Transmitting terminal launches millimeter-wave signal to the object to be detected；（S102）Receiving terminal receives the letter that transmitting terminal reflects
Number and calculate RSS values；（S103）Judgment module identifies detected material；（S104）Display module, which is shown, passes through judgment module institute
The material type detected.
As a further improvement on the present invention：The step（S103）In, pre-establish to set in space by institute
Measure and monitor the growth of standing timber material characteristic it is obstructed caused by channel condition information change model of the pattern as training sample；By the incidence of transmitting terminal
The signal attenuation of angle and subsequence is input in the model of training sample as characteristic value, draws the substantially class of target material
Not.
As a further improvement on the present invention：Accurate classification is carried out to rough classification using K- nearest neighbour methods, and then is judged
Object being measured particularly belongs to that classification.
As a further improvement on the present invention：The method of the system using millimeter wave detection material further includes data
Correction, is specially：The result that judgment module is judged remeasures after being corrected with material reality when there is any discrepancy.
As a further improvement on the present invention：The angle of the transmitting terminal record transmitting terminal face material surface；Sent out
Penetrate the intensity and angle of initial signal；The receiving terminal tries to achieve subcarrier using OFDM.
The beneficial effects of the invention are as follows：Metal detection method based on millimeter wave is no matter in specific implementation or polarization
On energy, relatively before metal detection method all improve a lot；Measurement is unfolded using the wireless frequency spectrum of existing opening；Only need
Millimeter wave is relied on, need not also use other any changes, it is not necessary to other extra equipment；Wireless signal is influenced by non line of sight
It is small, immediately can be effectively measuring in the case where there is stop；The material of different types can more accurately be distinguished.
【Brief description of the drawings】
The hardware that attached drawing 1 detects solid material systems for a kind of millimeter wave of embodiment of the present invention forms schematic diagram；
Attached drawing 2 detects the real time process flow schematic diagram of solid material systems for the millimeter wave of the present invention；
Attached drawing 3 realizes flow diagram for a kind of millimeter wave detecting method of embodiment of the present invention.
【Embodiment】
The present invention is further described for explanation and embodiment below in conjunction with the accompanying drawings.
A kind of system using millimeter wave detection material, including transmitting terminal, for launching millimeter-wave signal to being detected
Object, and record the angle, θ of transmitting terminal face material surface；Receiving terminal, for receiving the signal reflected and calculating RSS
Value；Judgment module, for the information recorded according to transmitting terminal and receiving terminal, identifies detected material；Feedback module, will
The result and known material that judgment module detects are compared；Display module, is detected for showing by judgment module
The material type gone out.
The number of the receiving terminal is one or more, and antenna array is simulated by movement when number is one
Row；The receiving terminal tries to achieve subcarrier using OFDM.
In the judgment module, the angle and signal strength that are recorded respectively according to transmitting terminal and receiving terminal, are calculated using classification
Method is preferably matched.
The feedback module feedback adjusts sorting algorithm model for the response message of the result of Classification and Identification.
Time series implementation data of the judgment module to channel condition information are split to obtain some subsequences, according to son
Sequence calculates signal attenuation value；The incident angle of body surface and the signal attenuation after reflection are sentenced according to transmitting terminal
The substantially classification of disconnected object.
Invention also provides a kind of method using millimeter wave detection material, include the following steps：（S101）Transmitting
Launch millimeter-wave signal to the object to be detected in end；（S102）Receiving terminal receives the signal that transmitting terminal reflects and calculating
RSS values；（S103）Judgment module identifies detected material；（S104）Display module is shown by detected by judgment module
Material type.
The step（S103）In, pre-establish and believed with setting in space caused by the characteristic of measured and monitored the growth of standing timber material is obstructed
Model of the pattern of channel state information change as training sample；By the incident angle of transmitting terminal and the signal attenuation of subsequence
It is input to as characteristic value in the model of training sample, draws the substantially classification of target material.
Accurate classification is carried out to rough classification using K- nearest neighbour methods, and then judges that object being measured particularly belongs to that class
Not.
The method of the system using millimeter wave detection material further includes Data correction, is specially：Judgment module institute
The result judged remeasures after being corrected with material reality when there is any discrepancy.
The angle of the transmitting terminal record transmitting terminal face material surface；Obtain the intensity and angle of transmitting initial signal；
The receiving terminal tries to achieve subcarrier using OFDM.
In one embodiment, the differentiation material of the invention based on millimeter wave realizes system, including：
Transmitting terminal, for launching millimeter-wave signal to the object to be detected, and records transmitting terminal face material surface
Angle, θ；
Receiving terminal, for receiving the signal reflected and calculating RSS values；
Judgment module, for the information recorded according to transmitting terminal and receiving terminal, contrast material identifies that table is related to utilizing
Algorithm is preferably matched, and identifies detected material
Feedback module, will determine that result that module detects and known material are compared, if there is deviation, carries out
Correction, so as to be that distinguished number is more accurate
Display module, for showing by the material type detected by judgment module.
System is realized for the above-mentioned differentiation material based on millimeter wave, its concrete implementation step is as follows：
S1, wireless receiving end receive the wireless signal from wireless transmitting terminals, and try to achieve subcarrier using OFDM
S2, according to the incident angle of receiving terminal received signal intensity and transmitting terminal carry out discriminant classification
S3, the rough classification determined based on above-mentioned steps, Accurate classification is carried out using K- nearest neighbour methods to rough classification, into
And judge object being measured and particularly belong to that classification.
In practical applications, the method for the differentiation material of the invention based on millimeter wave can be realized on the application server.
In the present invention, the number of the wireless transmitting terminals is one, and the number at the wireless receiving end is more than one or two.System
In system wireless signal is sent and received by more antennas；When the number at wireless receiving end is one, connect by mobile wireless
Receiving end is modeled to an array.As described in Figure 1, there are a wireless transmitting terminals and a wireless receiving in detecting system
End, wherein wireless transmitting terminals are motionless, and wireless receiving end is continuous movement.In environment is detected, it is only necessary to will be tested
Survey object to place in the environment put up in advance, system will examine object materials using wireless receiving end received signal
Survey, and thereby the classification of judgement material.Display module includes mobile phone, computer, tablet computer, palm PC and liquid crystal display etc.
The equipment that can show result.
In order to establish the contact between wireless signal and testee, the present invention uses the received signal strength of wireless network
（RSS）As indicant.Based on radio propagation model, the present invention establishes contacting between RSS and testee.Work as hair
Penetrate to hold to be launched with certain incidence angle and secondary reflection is carried out by the surface of object being measured, according to the signal attenuation journey after reflection
Spend to judge which kind of object substantially belongs to.The present invention utilizes orthogonal frequency carrier multiplexing（Orthogonal Frequency
Division Multiple,OFDM）Subcarrier is obtained, and is established between the signal and testee obtained in this way
Contact can improve the accuracy rate judged material classification.
Specifically, in the step S1, initial channel status data is gathered, based on MIMO technique, is utilized
OFDM obtains subcarrier, and channel condition information is smoothed using data filtering techniques and moving average method.
The step S2 carries out the preliminary judgement of material classification:
S21, the time series implementation data to channel condition information are split to obtain some subsequences, are calculated according to subsequence
Go out signal attenuation value；
S22, according to signal attenuation of the transmitting terminal to the incident angle of body surface and after reflection come judgment object
Substantially classification；
In order to more precisely identify the classification of material, present invention uses based on K- nearest neighbour methods with incident angle and letter
Which kind of number the two values of attenuation more precisely identify as characteristic value on the basis of the major class that S2 steps determine is other
Material；Differentiated to better profit from the algorithm, introduce feedback module, if there is identification mistake, this information is fed back
Carry out continuing to differentiate into step S22.
Further, the step S3 includes：
S31, based on Statistical Learning Theory, pre-establish using transmitting terminal incidence angle and signal attenuation value as two dimensional character,
To set the data in space as training sample, the characteristic model of training sample is then drawn；
S32, on step S22 bases, the mould of S31 is input to using the one group of two dimensional character value of object surveyed as parameter
In type, the Accurate classification of measured and monitored the growth of standing timber material is drawn；
S33, by the result of S32 be presented to display module；
Present invention also offers a kind of system of the realization of the differentiation material based on millimeter wave, as shown in attached drawing 3, it is based on
The transmission technology of wireless signal, including：
Signal launches and receiving module 31, receives the wireless signal from wireless transmitting terminals for wireless receiving end, and comment
Estimate channel condition information；
Judgment module 32, the classification described in material is identified with incidence angle and signal attenuation；
Display module 33, will determine that the material type that module identifies is shown；
Feedback module 34, the difference of result and material type based on judgment module, using this difference value as profile feedback
To judgment module；
In the system of the realization of the differentiation material based on millimeter wave of the present invention, the number of the wireless transmission list is one
A, the number at the wireless receiving end is one or more, when the number at wireless receiving end is 1, is simulated by mobile
Go out aerial array.
Further, the signal transmitting and receiving module include：
Signal transmitting terminal 311：The equipment of related millimeter wave can be launched
Signal receiving end 312：The antenna of millimeter wave can be received；
Further, the judgment module includes：
Computing unit 321, based on Statistical Learning Theory, has pre-established to set in space by the characteristic of measured and monitored the growth of standing timber material
Model of the pattern of channel condition information change as training sample caused by obstructed
Recognition unit 322, for being inputted the signal attenuation of the incident angle of transmitting terminal and subsequence as characteristic value
Into the model of training sample, so as to draw the classification of target material；
Feedback module 34 is further included in the system of the realization of the differentiation material based on millimeter wave of the present invention, for feeding back
Response message to differentiating result, adjusts the model of K- nearest neighbor algorithms.
The present invention based on the received signal strength based on millimeter wave, and using the angle value of transmitting terminal transmitting by making
Value is characterized, using corresponding model algorithm, so as to fulfill accurate classification.
In another embodiment, using the method for millimeter wave detection material, include the following steps：
1) transmitting terminal is utilized, obtains the intensity and angle of transmitting initial signal；
2) signal strength obtained according to receiving terminal, using judgment module, calculates loss of signal amount, then in conjunction with angle
Degree judges judged angle；
3) correction module is utilized, if it is determined that there is any discrepancy for result and reality that module is judged, after being corrected again
Measurement；
4) utilize display module, call judgment module and correction module after reunification as a result, showing measured material
Type.
The advantages of using millimeter wave, have devised a kind of system for discriminating materials based on millimeter wave, and use improved calculation
Method and correction module more accurately can be identified material；The processing procedure of the material detection system of the present invention, first basis
The signal strength and the angle of transmitting end signal and material surface of transmitting terminal and receiving terminal are obtained, is calculated using the classification of machine learning
Method judges to detect the type of material, then by manually being corrected with the continuous of algorithm, reaches more accurate identification.
Classification and Identification is carried out to the material surveyed, identification stability is good.
Above content is that a further detailed description of the present invention in conjunction with specific preferred embodiments, it is impossible to is assert
The specific implementation of the present invention is confined to these explanations.For general technical staff of the technical field of the invention,
On the premise of not departing from present inventive concept, some simple deduction or replace can also be made, should all be considered as belonging to the present invention's
Protection domain.
Claims (3)
- A kind of 1. system using millimeter wave detection material, it is characterised in that：Including transmitting terminal, arrived for launching millimeter-wave signal The object to be detected, and record the angle, θ of transmitting terminal face material surface；Receiving terminal, for receiving the signal reflected And calculate RSS values；Judgment module, for the information recorded according to transmitting terminal and receiving terminal, identifies detected material；Instead Module is presented, will determine that result that module detects and known material are compared；Display module, for showing by judging mould Material type detected by block;The number of the receiving terminal is one or more, passes through movement when number is one Simulate aerial array；The receiving terminal tries to achieve subcarrier using OFDM;In the judgment module, according to transmitting terminal and receiving terminal The angle and signal strength recorded respectively, is preferably matched using sorting algorithm;The feedback module feedback is for classification The response message of the result of identification, adjusts sorting algorithm model;The judgment module is real to the time series of channel condition information Apply data to split to obtain some subsequences, signal attenuation value is calculated according to subsequence；Body surface is entered according to transmitting terminal Firing angle degree and the signal attenuation after reflection carry out the substantially classification of judgment object.
- 2. a kind of method of system using millimeter wave detection material, it is characterised in that：Include the following steps：（S101）Transmitting terminal Launch millimeter-wave signal to the object to be detected；（S102）Receiving terminal receives the signal that transmitting terminal reflects and calculates RSS Value；（S103）Judgment module identifies detected material；（S104）Display module is shown by the material detected by judgment module Expect type；The step（S103）In, pre-establish and believed with setting in space caused by the characteristic of measured and monitored the growth of standing timber material is obstructed Model of the pattern of channel state information change as training sample；By the incident angle of transmitting terminal and the signal attenuation of subsequence It is input to as characteristic value in the model of training sample, draws the substantially classification of target material；Using K- nearest neighbour methods to substantially dividing Class carries out Accurate classification, and then judges that object being measured particularly belongs to that classification；Described detects material using millimeter wave The method of system further includes Data correction, is specially：The result that judgment module is judged is carried out with material reality when there is any discrepancy Remeasured after correction.
- 3. the method for the system using millimeter wave detection material according to claim 2, it is characterised in that：The transmitting The angle of end record transmitting terminal face material surface；Obtain the intensity and angle of transmitting initial signal；The receiving terminal utilizes OFDM tries to achieve subcarrier.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510878553.1A CN105527303B (en) | 2015-12-04 | 2015-12-04 | Utilize the method and system of millimeter wave detection material |
| PCT/CN2016/084190 WO2017092266A1 (en) | 2015-12-04 | 2016-05-31 | Method and system for testing material using millimeter waves |
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| CN201510878553.1A CN105527303B (en) | 2015-12-04 | 2015-12-04 | Utilize the method and system of millimeter wave detection material |
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| CN105527303B true CN105527303B (en) | 2018-05-08 |
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| WO (1) | WO2017092266A1 (en) |
Families Citing this family (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105527303B (en) * | 2015-12-04 | 2018-05-08 | 深圳大学 | Utilize the method and system of millimeter wave detection material |
| CN106932492B (en) * | 2017-03-13 | 2019-06-04 | 南京航空航天大学 | A kind of ultrasonic target detection method based on ofdm signal |
| CN107064917A (en) * | 2017-03-30 | 2017-08-18 | 上海斐讯数据通信技术有限公司 | A kind of microwave positioning method and system |
| CN107643544B (en) * | 2017-08-31 | 2020-08-18 | 深圳大学 | Method for automatically detecting metal |
| CN109752319A (en) * | 2017-11-01 | 2019-05-14 | 青岛海尔智能技术研发有限公司 | A kind of optical means and device identifying clothing material |
| CN109029252B (en) * | 2018-06-20 | 2020-12-01 | Oppo广东移动通信有限公司 | Object detection method, object detection device, storage medium, and electronic apparatus |
| CN108760772A (en) * | 2018-07-13 | 2018-11-06 | 江苏集萃智能传感技术研究所有限公司 | A kind of portable raw meat detection device, detecting system and detection method based on millimeter wave |
| CN109470720B (en) * | 2018-09-29 | 2023-09-22 | 深圳市重投华讯太赫兹科技有限公司 | Liquid identification method, vector extraction method, liquid identification device, and storage medium |
| CN109975799A (en) * | 2019-03-13 | 2019-07-05 | 谭伟 | A kind of method and its system of radar identification material |
| US11117573B2 (en) * | 2019-10-22 | 2021-09-14 | GM Global Technology Operations LLC | Method and apparatus for object identification using non-contact chemical sensor |
| CN111735741B (en) * | 2020-07-03 | 2020-12-08 | 中国人民解放军国防科技大学 | Testing arrangement of irregular biological particle millimeter wave transmissivity |
| CN112505646B (en) * | 2020-11-18 | 2024-04-12 | 安洁无线科技（苏州）有限公司 | Foreign matter shielding judging method and system based on millimeter wave radar |
| WO2022124967A1 (en) * | 2020-12-09 | 2022-06-16 | Telefonaktiebolaget Lm Ericsson (Publ) | Method and apparatus for material identification |
| US20240036166A1 (en) * | 2020-12-09 | 2024-02-01 | Telefonaktiebolaget Lm Ericsson (Publ) | Method and Apparatus for Scatterer Localization and Material Identification |
| CN114005246B (en) * | 2021-01-29 | 2024-01-30 | 江苏中科西北星信息科技有限公司 | Fall detection method and device for old people based on frequency modulation continuous wave millimeter wave radar |
| CN113075252B (en) * | 2021-03-04 | 2022-02-18 | 华中科技大学 | Method and system for measuring passive millimeter wave radiation characteristic quantity and classification method |
| CN113325008B (en) * | 2021-06-02 | 2022-09-20 | 合肥工业大学 | Non-contact material identification system and method based on WIFI equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2468062Y (en) * | 2001-03-09 | 2001-12-26 | 中国科学院上海冶金研究所 | Anti-collision millimeter wave radar for vehicle |
| CN101625262A (en) * | 2009-08-11 | 2010-01-13 | 中国人民解放军第四军医大学 | Non-air conduction voice detector based on millimeter-wave radar |
| CN101793953A (en) * | 2010-02-09 | 2010-08-04 | 中国科学院上海微系统与信息技术研究所 | Auxiliary source irradiation system used for indoor millimeter wave imaging security verification system |
| CN102135629A (en) * | 2010-12-21 | 2011-07-27 | 中国科学院上海微系统与信息技术研究所 | Millimeter wave transceiving module for holographic imaging safety inspection system |
| US8946641B2 (en) * | 2011-04-07 | 2015-02-03 | The United States Of America, As Represented By The Secretary, Department Of Homeland Security | Method for identifying materials using dielectric properties through active millimeter wave illumination |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3794848B2 (en) * | 1998-12-28 | 2006-07-12 | 三井化学株式会社 | Method and apparatus for measuring dielectric constant in millimeter wave band |
| US9157852B2 (en) * | 2010-09-17 | 2015-10-13 | Raytheon Company | Explosive material detection |
| CN105527303B (en) * | 2015-12-04 | 2018-05-08 | 深圳大学 | Utilize the method and system of millimeter wave detection material |
-
2015
- 2015-12-04 CN CN201510878553.1A patent/CN105527303B/en active Active
-
2016
- 2016-05-31 WO PCT/CN2016/084190 patent/WO2017092266A1/en active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2468062Y (en) * | 2001-03-09 | 2001-12-26 | 中国科学院上海冶金研究所 | Anti-collision millimeter wave radar for vehicle |
| CN101625262A (en) * | 2009-08-11 | 2010-01-13 | 中国人民解放军第四军医大学 | Non-air conduction voice detector based on millimeter-wave radar |
| CN101793953A (en) * | 2010-02-09 | 2010-08-04 | 中国科学院上海微系统与信息技术研究所 | Auxiliary source irradiation system used for indoor millimeter wave imaging security verification system |
| CN102135629A (en) * | 2010-12-21 | 2011-07-27 | 中国科学院上海微系统与信息技术研究所 | Millimeter wave transceiving module for holographic imaging safety inspection system |
| US8946641B2 (en) * | 2011-04-07 | 2015-02-03 | The United States Of America, As Represented By The Secretary, Department Of Homeland Security | Method for identifying materials using dielectric properties through active millimeter wave illumination |
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| WO2017092266A1 (en) | 2017-06-08 |
| CN105527303A (en) | 2016-04-27 |
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