CN106568842B - A kind of ware ultrasonic wave anti-counterfeiting identification method based on weighted euclidean distance - Google Patents
A kind of ware ultrasonic wave anti-counterfeiting identification method based on weighted euclidean distance Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/01—Indexing codes associated with the measuring variable
- G01N2291/015—Attenuation, scattering
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/023—Solids
- G01N2291/0232—Glass, ceramics, concrete or stone
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/26—Scanned objects
- G01N2291/263—Surfaces
Abstract
The invention belongs to ware Ultrasonic Nondestructive technical fields, and in particular to a kind of ware ultrasonic wave anti-counterfeiting identification method based on weighted euclidean distance, including acquisition time-domain signal, calculating weighted euclidean distance, selection and identification three steps of threshold value.The present invention provides a kind of new method of ware anti-counterfeiting identification, it is that the Ultrasonic Nondestructive technology based on power Euclidean distance algorithm is applied to ware anti-counterfeiting identification field for the first time, is particularly suitable for the anti-counterfeiting identification of historical relic ware；Method of the invention only needs to make ultrasonic wave transmitting probe from a certain face contact object to be detected, and easy to operate, safety, equipment is light, and in addition to this, method of the invention also has the advantages that at low cost, penetration capacity is strong, and directionality is good, high sensitivity.
Description
Technical field
The invention belongs to ware Ultrasonic Nondestructive technical field, and in particular to a kind of based on weighted euclidean distance
Ware ultrasonic wave anti-counterfeiting identification method.
Background technique
The true and false of detection for ware, especially historical relic ware recognizes, and conventional method is mainly according to personal institute
The experience of accumulation, by soon, the sense organs such as hand is touched, ear is listened, nose is heard, implements are identified, but since personal sense organ is deposited
Born limitation, these direct experiences itself also just inevitably exist it is inaccurate, not comprehensively, even full of prunes situation,
In addition considerable part Conventional wisdom be all by passing from mouth to mouth, master and apprentice mutually award and become indirect experience, these indirect experiences are again
It is spoiled because of the fault reported, copied privately, get out of tune or even changed beyond recognition, and the experience of this kind of inaccuracy is largely doped to tradition
In experience, the limitation of Conventional wisdom is more increased.
In addition to conventional method, the X-ray and neutron of modern science and technology are also used the detection and identification method of ware
Film radiography, ray detection method are to make Radiolucent detected material, make light reaching the film through ray, clean film, according to
The photosensitive situation of film judges the internal soundness of detected material, does B ultrasound in hospital similar to us, but ray detection cost compared with
Height, but also there is side effect even to have certain injury human body, there is ill-effect to some sensitive objects, has radiation dirty environment
Dye.
Ultrasonic detection technology only needs to make ultrasonic wave transmitting probe from a certain face contact object to be detected, operation
Simply, safety, equipment is light, and in addition to this, ultrasonic detection technology also has at low cost, and penetration capacity is strong, and directionality is good, spirit
The advantages that sensitivity is high.
And ultrasonic flaw detection detection technique and current research benefit are mainly applied in ultrasound examination in the prior art
With ultrasonic wave lossless detection to the identification technique of metal, the patent of research group's application as where the present inventor
" CN201310364791.1 ", disclosed is exactly a kind of true and false mirror method for distinguishing using metal by ultrasonic non-destructive detection method；But
It is that anti-counterfeiting identification technical field by ultrasonic applications in ware yet there are no relevant report, more has no based on weighted euclidean distance
Any report of the ultrasonic technology of algorithm for the anti-counterfeiting identification of ware.
Summary of the invention
In order to solve the above-mentioned problems in the prior art, the present invention provides a kind of potteries based on weighted euclidean distance
Porcelain ultrasonic wave anti-counterfeiting identification method.The technical problem to be solved in the present invention is achieved through the following technical solutions:
A kind of ware ultrasonic wave anti-counterfeiting identification method based on weighted euclidean distance, comprising the following steps:
Step 1 acquires time-domain signal: ultrasonic pulse transmitting/receiving instrument, number in setting ultrasonic wave anti-counterfeiting identification device
The parameter of word oscillograph, selection transmit/receive probe, carry out multiple repairing weld to standard ceramic device sample, the signal of acquisition is retained and is made
For the anti-counterfeiting information of standard ceramic device sample；Same method again samples other ware samples；
Step 2 calculates weighted euclidean distance: in extraction time domain waveform between beginning wave and first time Bottom echo backwards
Scattered signal, the backscatter signals of standard ceramic device sample are denoted as X (t), the backscatter signals note of other ware samples
For Y (t), then the Euclidean distance of two signals are as follows:
ω in formula (1)iFor weight, calculating formula isW is normalization factor, W=∑iωi；σ is to adjust
The factor is saved, takes σ=1 in experiment；
Step 3 is chosen and identification threshold value: beginning wave and first time in the time domain waveform of extraction standard ware sample signal
Backscatter signals between Bottom echo acquire signal, find out the weighted euclidean distance of standard ceramic device sample, by Euclidean away from
Maximum value from is denoted as dmax, minimum value is denoted as dmin, mean value is denoted asAnd by mean valueWeighting as standard ceramic device sample
Euclidean distance, threshold definitions are Δ=dmax-dmin；The weighted euclidean distance of the standard ceramic device sample is its anti-fake letter
Breath；
One section of backscattering of time domain identical as standard ceramic device sample is extracted from the signal of other ware samples
Signal, and calculate the weighted euclidean distance d between each ware sample and standard ceramic device sample；
It willIt is compared with threshold value Δ, ifThen the sample is standard ceramic device sample, such as
FruitThen the sample is not standard ceramic device sample.
Further, the thickness of the standard ceramic device sample and other ware samples is at least 3mm, and in quasi- ceramics
Diameter is that the disk of 10mm is popped one's head in convenient for putting at least one on device sample and other ware samples.
Further, the connection relationship of the ultrasonic wave anti-counterfeiting identification device is: sound pulse transmission/receiving instrument is passed through
Digital oscilloscope is connected to a computer, then will transmit/receive probe connect with the ultrasonic pulse transmitting/receiving instrument be placed on to
The surface for recognizing ware sample, makes to transmit/receive probe and ware sample couplant coupling contact.
Further, the ultrasonic wave transmit/receive the centre frequency of probe be 5~20MHz, wafer diameter 10mm.
Further, it is 100ns, pulse recurrence frequency that the ultrasonic pulse transmitting/receiving instrument, which launches pulse width,
For 100Hz；Oscillograph sampling rate is 500Ms/s, and sample mean number is 2000.
Further, the couplant is water.
Compared with prior art, the beneficial effects of the present invention are:
1, it is that a kind of ware is anti-fake the present invention is based on the ware ultrasonic wave anti-counterfeiting identification method of weighted euclidean distance to distinguish
The new method of knowledge is that the ultrasonic detection technology based on power Euclidean distance algorithm is applied to ware anti-counterfeiting identification neck for the first time
Domain；Method of the invention is particularly suitable for the anti-counterfeiting identification of historical relic ware；
2, method of the invention overcomes the limitation that ware tradition leans on experience identification, while there is no wares to show again
Have and uses ray detection bring series of problems in technology, such as: higher cost, but also have side effect to human body or even have certain
Injury has ill-effect to some sensitive objects, has radiation pollution etc. to environment；
3, ultrasonic wave anti-counterfeiting identification method of the invention only needs to be detected ultrasonic wave transmitting probe from a certain face contact
Object, easy to operate, safety, equipment is light, and in addition to this, method of the invention also has testing cost low, penetrates
The advantages that ability is strong, and directionality is good, high sensitivity.
Detailed description of the invention
Fig. 1 is the echo-signal figure of ware standard ceramic device sample of the present invention.
Fig. 2 is the schematic diagram of ultrasonic wave anti-counterfeiting identification device of the present invention.
Specific embodiment
Further detailed description is done to the present invention combined with specific embodiments below, but embodiments of the present invention are not limited to
This.
Embodiment 1:
Preparation before detection:
Prepare ware sample: selection side length is 57mm, a height of 46mm, three specification sizes complete one with a thickness of 5mm
For the square ceramic box of cause as laboratory sample, sampled point when experiment is ceramic box bottom center；And choose three samples
In any one as standard ceramic device sample.
Connect ultrasonic wave anti-counterfeiting identification device: as shown in Fig. 2, sound pulse transmission/receiving instrument is passed through digital oscilloscope
It is connected to a computer, then will transmit/receive to pop one's head in connect with the ultrasonic pulse transmitting/receiving instrument and be placed on ware sample to be measured
The surface of product makes to transmit/receive probe and ware sample couplant coupling contact, and the couplant that the present invention selects is water.Probe
Echo-signal is received after transmitting ultrasonic pulse signal, by emitting/the oscillograph pair that connect of receiving instrument with ultrasonic pulse
Echo-signal is sampled.
The present invention is based on the ware ultrasonic wave anti-counterfeiting identification methods of weighted euclidean distance, comprising the following steps:
Step 1 acquires time-domain signal: selecting centre frequency is that 10MHz transmits/receives probe, to standard ceramic device sample into
The time-domain signal of acquisition is retained the anti-counterfeiting information as standard ceramic device sample by row seven times samplings；Same method is again to it
Its ware sample is sampled.
Step 2 calculates weighted euclidean distance: as shown in Fig. 1 institute, extracting beginning wave and first time bottom surface in time domain waveform and returns
Backscatter signals between wave, the backscatter signals of standard ceramic device sample are denoted as X (t), the back of other ware samples
It is denoted as Y (t) to scattered signal, then the Euclidean distance of two signals are as follows:
ω in formula (1)iFor weight, calculating formula isW is normalization factor, W=∑iωi；σ is to adjust
The factor is saved, takes σ=1 in experiment；Signal X (t) and signal Y (t) is more close it can be seen from weighted euclidean distance, weights Europe
D is closer to 0 for family name's distance.
Step 3 is chosen with identification threshold value: according to formula (1) weighted euclidean distance formula, find out a signal and other six
Maximum value in this group of Euclidean distance is denoted as d by the weighted euclidean distance of a signalmax, minimum value is denoted as dmin, mean value is denoted asAnd by mean valueAs the weighted euclidean distance of standard ceramic device sample, threshold definitions are Δ=dmax-dmin, hereThreshold value is Δ=0.2577 × 10-4, as shown in table 1.1.
The weighted euclidean distance of 1.1 standard ceramic device sample of table
Then, three samples are mixed, is respectively 1#, 2#, 3# to mixed three sample number into spectrum.To avoid primary reality
The contingency tested carries out six samplings to three samples respectively, and calculates six of standard ceramic device sample and each sample
Weighted euclidean distance, the mean value that six are worth calculate knot as the weighted euclidean distance d of each sample and standard ceramic device sample
Fruit is as shown in table 1.2, the weighted euclidean distance d (× 10 of three samples and standard ceramic device sample-4) it is respectively as follows: 0.7626,
12.1272 23.8555.
The weighted euclidean distance of table 1.2 standard ceramic device sample and each sample
Identification result is as shown in table 1.3, the weighted euclidean distance and standard ceramic device of 1# sample and standard ceramic device sample
The absolute value of sample itself weighted euclidean distance differenceLess than threshold value Δ=0.1289 ×
10-4, so 1# sample is standard ceramic device sample；And the weighted euclidean distance of 2# sample, 3# sample and standard ceramic device sample
With standard ceramic device sample itself weighted euclidean distance absolute value of the differenceAre as follows: 11.3365 × 10-4, 23.0648 × 10-4, two values both greater than threshold value Δ=0.1289 × 10-4, so 2# sample and 3# sample are not standard ceramic device samples.
1.3 identification result of table
The present invention is based on the ware ultrasonic waves of weighted euclidean distance to prevent for explanation it can be seen from the identification result of table 1.3
Pseudo- discrimination method identification result is accurate, and realization ware anti-counterfeiting identification that can be fast simple.
Embodiment 2:
The present embodiment is identical as laboratory sample selected by embodiment 1, and what difference place was probe selection is center frequency
Rate transmits/receives probe for 5MHz's.
Experimental method and calculation method are same as Example 1, as a result as follows:
Threshold value is Δ=dmax-dmin=(0.32848-0.11085) × 10-3=0.21763 × 10-3, standard ceramic device sample
The weighted euclidean distance of product itselfAs shown in table 2.1.
The weighted euclidean distance of 2.1 standard ceramic device sample itself of table
Equally, after to standard ceramic device sample, three samples are mixed, number is respectively 1#, 2#, 3#.Again
Six samplings are carried out to three samples, and calculate six weighted euclidean distances of standard ceramic device sample Yu each sample, it will
Weighted euclidean distance d of the mean values as each sample and standard ceramic device sample of six values, calculated result as shown in table 2.2,
The weighted euclidean distance d (× 10 of three samples and standard ceramic device sample-3) it is respectively as follows: 0.41539,5.51216,5.54949.
The weighted euclidean distance of table 2.2 standard ceramic device sample and each sample
Identification result is as shown in table 2.3, the weighted euclidean distance and standard ceramic device of 1# sample and standard ceramic device sample
The absolute value of sample itself weighted euclidean distance differenceLess than threshold value Δ=
0.21763×10-3, so 1# sample is standard ceramic device sample；And the weighting of 2# sample, 3# sample and standard ceramic device sample
Euclidean distance and standard ceramic device sample itself weighted euclidean distance absolute value of the differenceAre as follows: 5.29453 × 10-3,
5.33186×10-3, two values both greater than threshold value Δ=0.21763 × 10-3, so 2# sample and 3# sample are not standard ceramics
Device sample.
2.3 identification result of table
Illustrate in the present invention it can be seen from the identification result of table 2.3, selecting center probe frequency is transmitting/receiving for 5MHz
Probe accurate, quick, easy can also realize ware anti-counterfeiting identification.
Embodiment 3
Laboratory sample selected by the present embodiment is completely the same four plates of appearance of same batch production, plate thickness
3mm, selection of popping one's head in be centre frequency is that 5MHz transmits/receives probe, equally chooses any one in four samples as marking
Quasi- ware sample.
Experimental method and calculation method are same as Example 1, as a result as follows:
Threshold value is Δ=dmax-dmin=(0.30639-0.13797) × 10-3=0.16842 × 10-3, standard ceramic device sample
The weighted euclidean distance of product itselfAs shown in table 3.1.
The weighted euclidean distance of 3.1 standard ceramic device sample itself of table
Equally, after to standard ceramic device sample, four samples are mixed, number is respectively 1#, 2#, 3#, 4#.
Six samplings are carried out to four samples again, and calculate six weighted euclidean distances of standard ceramic device sample Yu each sample,
The mean value that six are worth is as the weighted euclidean distance d of each sample and standard ceramic device sample, calculated result such as 3.2 institute of table
Show, the weighted euclidean distance d (× 10 of four samples and standard ceramic device sample-3) it is respectively as follows: 0.33996,110.732,
120.293,137.619.
The weighted euclidean distance of table 3.2 standard ceramic device sample and each sample
Identification result is as shown in table 3.3, the weighted euclidean distance and standard ceramic device of 1# sample and standard ceramic device sample
The absolute value of sample itself weighted euclidean distance differenceLess than threshold value Δ=
0.108815×10-3, so 1# sample is standard ceramic device sample；And 2# sample, 3# sample, 4# sample and standard ceramic device sample
The weighted euclidean distance and standard ceramic device sample itself weighted euclidean distance absolute value of the difference of productAre as follows: 5.403375
×10-3, 5.440675 × 10-3, two values both greater than threshold value Δ=0.108815 × 10-3, so 2# sample, 3# sample, 4# sample
Product are not standard ceramic device samples.
3.3 identification result of table
Explanation present invention can be suitably applied to the anti-counterfeiting identification of a variety of wares it can be seen from the identification result of table 3.3.
Ware ultrasonic wave anti-counterfeiting identification method the present invention is based on weighted euclidean distance is a kind of ware anti-counterfeiting identification
New method, be will based on power Euclidean distance algorithm ultrasonic detection technology be applied to ware anti-counterfeiting identification field for the first time,
Method of the invention is particularly suitable for the anti-counterfeiting identification of historical relic ware；Method of the invention overcomes ware tradition by experience
The limitation of identification, while using ray detection bring series of problems in the prior art there is no ware again, such as: cost compared with
Height, but also there is side effect even to have certain injury human body, there is ill-effect to some sensitive objects, has radiation dirty environment
Dye etc.；Ultrasonic wave anti-counterfeiting identification method of the invention only need to make ultrasonic wave transmitting probe from a certain face contact object to be detected i.e.
Can, easy to operate, safety, equipment is light, and in addition to this, method of the invention also has testing cost low, and penetration capacity is strong,
The advantages that directionality is good, high sensitivity.
The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be said that
Specific implementation of the invention is only limited to these instructions.For those of ordinary skill in the art to which the present invention belongs, exist
Under the premise of not departing from present inventive concept, a number of simple deductions or replacements can also be made, all shall be regarded as belonging to of the invention
Protection scope.
Claims (6)
1. a kind of ware ultrasonic wave anti-counterfeiting identification method based on weighted euclidean distance, it is characterised in that: the following steps are included:
Step 1 acquires time-domain signal: ultrasonic pulse transmitting/receiving instrument, number are shown in setting ultrasonic wave anti-counterfeiting identification device
The parameter of wave device, selection transmit/receive probe, carry out multiple repairing weld to standard ceramic device sample, the signal of acquisition is retained as mark
The anti-counterfeiting information of quasi- ware sample；Same method again samples other ware samples；
Step 2 calculates weighted euclidean distance: extracting the backscattering in time domain waveform between beginning wave and first time Bottom echo
Signal, the backscatter signals of standard ceramic device sample are denoted as X (t), and the backscatter signals of other ware samples are denoted as Y
(t), then the Euclidean distance of two signals are as follows:
ω in formula (1)iFor weight, calculating formula isW is normalization factor, W=∑iωi；σ be adjust because
Son takes σ=1 in experiment；
Step 3 is chosen and identification threshold value: beginning wave and first time bottom surface in the time domain waveform of extraction standard ware sample signal
Backscatter signals between echo acquire signal, find out the weighted euclidean distance of standard ceramic device sample, will be in Euclidean distance
Maximum value be denoted as dmax, minimum value is denoted as dmin, mean value is denoted asAnd by mean valueWeighting Europe as standard ceramic device sample
Formula distance, threshold definitions are Δ=dmax-dmin；The weighted euclidean distance of the standard ceramic device sample is its anti-counterfeiting information；
One section of backscatter signals of time domain identical as standard ceramic device sample are extracted from the signal of other ware samples,
And calculate the weighted euclidean distance d between each ware sample and standard ceramic device sample；
It willIt is compared with threshold value Δ, ifThen the sample is standard ceramic device sample, ifThen the sample is not standard ceramic device sample.
2. according to the method described in claim 1, it is characterized by: the standard ceramic device sample and other ware samples
Thickness is at least 3mm, and at least one on standard ceramic device sample and other ware samples at diameter be 10mm circle it is flat
It pops one's head in convenient for putting in face.
3. according to the method described in claim 2, it is characterized by: the connection relationship of the ultrasonic wave anti-counterfeiting identification device is,
Sound pulse transmission/receiving instrument is connected to a computer by digital oscilloscope, then probe and the ultrasonic wave arteries and veins will be transmitted/received
The surface that transmitting/receiving instrument connection is placed on ware sample to be identified is rushed, makes to transmit/receive probe and ware sample couplant
Coupling contact.
4. method according to claim 1 or 3, it is characterised in that: the centre frequency that the ultrasonic wave transmits/receives probe is 5
~20MHz, wafer diameter 10mm.
5. method according to claim 1 or 3, it is characterised in that: the ultrasonic pulse transmitting/receiving instrument launches arteries and veins
Rush width be 100ns, pulse recurrence frequency 100Hz；Oscillograph sampling rate is 500Ms/s, and sample mean number is 2000.
6. according to the method described in claim 3, it is characterized by: the couplant is water.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2003006983A1 (en) * | 2001-07-10 | 2003-01-23 | Siemens Aktiengesellschaft | Defect identification in bodies consisting of brittle material |
| CN102183500A (en) * | 2011-02-28 | 2011-09-14 | 江南大学 | White spirit identification method based on fluorescence characteristic parameter Euclidean distance |
| CN103412047A (en) * | 2013-08-20 | 2013-11-27 | 陕西师范大学 | Method for identifying true and false metal by ultrasonic non-destructive detection method |
| CN104914190A (en) * | 2015-06-23 | 2015-09-16 | 福建省农业科学院农业工程技术研究所 | Method for identifying tea species and determining contents of 21 characteristic components |
| CN105334269A (en) * | 2015-10-19 | 2016-02-17 | 江苏大学 | Pipeline defect type determination method based on neural network and guided wave characteristic database |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8770029B2 (en) * | 2011-10-04 | 2014-07-08 | General Electric Company | Method and apparatus for ultrasonic testing |
-
2016
- 2016-10-14 CN CN201610898295.8A patent/CN106568842B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2003006983A1 (en) * | 2001-07-10 | 2003-01-23 | Siemens Aktiengesellschaft | Defect identification in bodies consisting of brittle material |
| CN102183500A (en) * | 2011-02-28 | 2011-09-14 | 江南大学 | White spirit identification method based on fluorescence characteristic parameter Euclidean distance |
| CN103412047A (en) * | 2013-08-20 | 2013-11-27 | 陕西师范大学 | Method for identifying true and false metal by ultrasonic non-destructive detection method |
| CN104914190A (en) * | 2015-06-23 | 2015-09-16 | 福建省农业科学院农业工程技术研究所 | Method for identifying tea species and determining contents of 21 characteristic components |
| CN105334269A (en) * | 2015-10-19 | 2016-02-17 | 江苏大学 | Pipeline defect type determination method based on neural network and guided wave characteristic database |
Non-Patent Citations (4)
| Title |
|---|
| Evaluation of Three-Dimensional Segmentation Algorithms for the Identification of Luminal and Medial–Adventitial Borders in Intravascular Ultrasound Images;Jon D. Klingensmith et al.;《TRANSACTIONS ON MEDICAL IMAGING》;20001031;第19卷(第10期);996-1011页 |
| 基于加权欧氏距离度量的目标再识别算法;谭飞刚等;《华南理工大学学报（自然科学版）》;20150930;第43卷(第9期);88-94页 |
| 基于超声衰减系数谱辨识金属材料方法的适应性研究;卢康等;《陕西师范大学学报（自然科学版）》;20160930;第44卷(第5期);46-52页 |
| 距离判别在超声探伤缺陷识别中的应用;罗水云等;《无损探伤》;20061231;第30卷(第6期);43-45页 |
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