Study the Designed Electromechanical Lock by Grey Multi objective Situation Decision

2017 2nd International Conference on Artificial Intelligence: Techniques and Applications (AITA 2017) ISBN: 978-1-60595-491-2

Study the Designed Electromechanical Lock by Grey

Multi-objective Situation Decision

Tatsuyuki Nezu

*

National Chin-Yi University of Technology, Department of Refrigeration and Air-Conditioning and Energy Engineering

No. 57, Sec. 2, Zhongshan Rd., Taiping Dist., Taichung 41170, Taiwan (R.O.C.) *Corresponding author

Keywords: Embedded, Biometric, Grey multi-objective situation decision.

Abstract. In the general access control system, it is convenient of the utilization of a key or identification badges such as the PIN (Personal Identification Number) code for identifying particulars, but some shortcomings still exists, the biggest risk is that the PIN code are easily acquired by criminals, keys or identification card are lost or forged may already lead to security problems; therefore, it is promising to combined the biometrics with other types of authentication methods as new alternative security mechanism. The embedded security identification products on the market are very popular. For the purpose of higher security level, this study joins the electromechanical lock and different types of biometrics technology together in the access control design application, to achieve the dual-mode identify mechanism. Meanwhile, in order to achieve the enhancing security level, the grey decision-making mode is used to assist the design of the access control security system with the factors of security, economy and convenience and life duration.

Introduction

The embedded security identification products in the market is getting more and more popular with quite a large amount, in which to choose an effective security control mechanism embedded product is necessary. The main purpose of this study is to investigate a traditional electric door lock with biometric technology embedded which would not only realize the dual-mode identification mechanism, but also guarantee the enhancing security effect. Actually, to embed the Biometrics module in electric locks of the door, special considerations on price, features, size, safety and convenience are required. In the present paper, assessment factors of security, economy, convenience, durability, stability and spatial are cited basing on experts’ suggestions and data of different biometrics technologies which overtake more than 5% of the market. To obtain the optimized decision among the results, the assessment guidelines and the grey theory is needed.

Basic Theories Decision Target

Decision-making can be considered as a management process, which utilizes scientific theories and methods to achieve a specific goal: a systematic analysis of the subjective and objective conditions with a variety of pre-selected options for the purpose of choosing the best solution to implement in the monitor process. This process is shown in Figure 6. In the narrow sense, the process of decision-making is to solve a problem from a variety of alternatives and select a program of action.

Biological Distinguish

recognition, voice recognition, vein recognition, signature recognition and other biometric technology.

Iris Recognition

Iris recognition technology uses the information of eyes as identification, everyone have different information of eyes (Figure 1), and iris identification technology converts the information of eyes in to identification characteristics (Figure 2) like bar code. The accuracy of this identification technology of course is very high.

Figure 1. Eye diagrams. Figure 2. The bar code converted from iris information.

Iris identification system uses the non-contact method to look into the eyes with a fully automatic camera, then the discovery of the iris begins, even if the user has to blink, the process could also not be broken down to obtain the iris images. Visual characteristics of the iris is then converted into a 512-byte iris code (Iris) Code, this code are stored for future utilization. Iris identification applied special algorithms to record the information by 3.4-byte number per square millimeter from a diameter of 11mm iris, thus, a total number of about 266 quantitative characteristic points of the iris are obtained, while the other general biological technologies contains only 13 to 60 characteristic points. Therefore the iris identification technology can reach the accuracy of Merit.

[image:2.612.386.438.346.398.2]

Figure 3. Face in front of Chart wheels. Figure 4. Left view diagram of face. Face Recognition

The facial position and distance are considered as identification features (Figure 3, Figure 4), the biological identity is personal proprietary features (Biometrics) certification. The image of a human face recognition is to capture facial images through the use of computers digital cameras, the digital camera resolution is only 240 x 320 Pixels, face size must be at least more than 40 x40 Pixels size. When a user enters the video device effective visual distance, the advanced face recognition technology would automatically capture face images. Through the template (Template Matching) method of 3D detection and conducted positioning, the face model is obtained. It should be noted that it is necessary to track the movement of face images constantly because the person's head will not stop. Real Face recognition technology to detect and identify people face is still in the monitor screen. The facial feature hairline, forehead, two eyes, nose, mouth, chin, these facial features are captured, stored and compared with the data in the libraries for instant identity confirmation.

Fingerprin

The oldest and most mature application is fingerprint identification multi-biometrics technology, some research literatures show that among every 1042 people, it is possible that there are two people at the same time that have the same fingerprint. The subtle characteristics common used are listed as follow: peak pattern, pattern Valley, the point of the triangle, the bifurcation point, the loop center and other characteristic points discernible (Figure 5). Fingerprint recognition is a kind of mature technology, the equipment costs are lower, however, the fingerprints usually relates to a criminal investigation, in the registration of the original sample, users are usually not willing to cooperate psychologically.

[image:3.612.224.386.65.122.2]

Figure 5.Sketch of fingerprint identification.

Methods

The grey situation decision chooses different strategies according to different events, it depends on the extent of the effect, also depends on the target. If the decisions consider only a single goal, then it is called single objective situation decisions; if there are multiple targets considered at the same time, it is called the situation in the multi-objective decision-making, the grey information will become the decision-making of the original material.

Decision Unit, the Decision Vector and the Definition of Decision Matrix

Decision-making events, countermeasures, and the effect of the three general term a1. Set of events,

countermeasures bj, (a bij)called the situationSij=(a bi, j), denoted here means that the j-th countermeasures

to deal with the situation of the i-th event. Its effect is

ij

r test than your opponent, with the ratio, rij/sij=rij/( ,a bi j), As poll strategy won, One said untos_ij, r_ijrefers to the test results.

If events a a₁, ,...,₂ ancountermeasures b b1, 2,...,bmfor the same eventai, can be usedb b1, ,...,2 bm, m a

countermeasure to deal with

, 1 ,2 ,

(a bi ), (a bi ), ...(a bi m), constitutes a situation in the m. These decisions element arranged in one constitute decision-column.

1 2

1 2

, ,...,

i i im

j

i i im

r r r

s s s

δ = 

 

(1)

Countermeasuresb_j can bea a₁, ₂,...,a_n, against line can be obtained, constitute Decision line

1 2

1 2

, ,..., T

j j nj

j

j j nj

r r r

s s s

θ = 

 

 

(2)

, 1, 2,..., ; , 1, 2,...,

i i n j j m

δ = θ = Lined up, may constitute a decision matrix M, denoted by M( ,δ θ_{i j})

1 11 12

11 11 1

2 21 22

21 22 2

1 2 1 2

...

...

...

... m

m

m

m

n n nm

n n nm

r r r

s s s

r

r r

s s s

M

r r r

s s s

 

 

 

 

 

=_{ }

 

 

 

 

 

(3)

Effect Measure

(1) Purpose: to measure data dictionary turned away from one of the largest value, the greater the effect you want, the better for Peter range (LARGER the BETTER)

max

/

ij ij

One of thes_ij Y,

u

ij is verily umaxtest results, it is verily sij all test results of the largest value

(2) Low impact test (cost target method)

Purpose: to measure data dictionary turned away from one of the smallest value, i.e. , the hope that the younger the better it is repurchased at range (small THE BETTER)

min/

ij ij

r =u u (5) In whichu_minis the minimum value, s_ijof all the measured results,uij≥u_min,rij≤1.

(3) Center of Effect Measure (specific target):

Purpose: To hope that the effect of his consideration of the vicinity of a specified target range (nominal the best).

0 0

min(

,

) / max(

,

)

ij ij ij

r

=

u u

u u

(6)

In whichu₀ is a reference point in the samplerij ≤1. Can be obtainedrij using the following formula

0/( 0 0)

ij ij

r =u u −u +u (7)

In actual application, whether you want to take the Seed, to look at the problem of sexual nature. For example, can be said unto thane inheritance, and operating revenue and value, the higher the profit, the better results can be accounted for by using ceiling test; and said unto the investment cost smaller is better, you can lower the test results, etc.

Multi-target Situation Decision

When situation has k Targets, Hutchison effect of k-Target Measure ( )k

ij

r , Corresponding element of

the decision-making is ( )

/ k ij ij

r s , Corresponding decision vector δi( )k ,

( )k i

θ

and decision matrix ( )k

M .

The ( )k ij

r measure the effect of the k-th Target, the corresponding element of the decision-making,

thus corresponding decision vector, and decision matrix

( ) ( ) ( )

1 11 12

11 11 1

( ) ( ) ( )

1 21 22 ( )

21 22 2

( ) ( ) ( ) 1 2 1 2 ... ... ... ... k k k m m k k k m k m

k k k

n n nm

n n nm

r

r r

s s s

r

r r

M s s s

r r r

s s s

          =_{ }             (8)

Multi-target situation decision matrix

M

( )Σ :

( ) ( ) ( )

1 11 12

11 11 1

( ) ( ) ( )

1 21 22 ( )

21 22 2

( ) ( ) ( ) 1 2 1 2 ... ... ... ... m m m m

n n nm

n n nm

r

r r

s s s

r

r r

M s s s

r r r

s s s

Σ

Σ Σ

Σ

Σ Σ

Σ

Σ Σ Σ

          =_{ }             (9)

When decisions Target has k, in accordance with the purpose of the decision-making requires different weighing from different target weight, respectively, to the different weights W Wk, k>0, and

1

1

k p p

W

=

=

∑

(10)

So _M( )Σ

elements by (11) be obtained

( ) ( )

1

k N

ij ij

k

r

r

N

Σ

=

=

∑

₍₁₁₎

Decision Criteria

The decision is a choice of the best the situation, called columns decisions by the event to select the best decisions; by countermeasures matching, the most suiTable for the event is called row decision-making.

Row decision-making. To measure largest elementδ_i of the decision-makingM( )Σ take effect for the

decision matrix in the decision-making line _{i j}( )

_{m a x}

_{i j}( ) m a x ( _i1( ), _i(₂ )..., _im( ))

j

r Σ = r Σ = r Σ r Σ r Σ , row

decision-making element is called ( )

/ i j i j

r Σ s _,

ij

S

is the optimal decision situation that

b

_jis optimal

countermeasures to deal with

a

_ievents.

Column Decision-making. To measure largest element θ_jof the decision-making _M( )Σ_{take effect}

for the decision matrix in the decision-making column ( ) ( ) ( ) ( ) ( )

1 2

max( , ..., )

max

ij ij j j nj

j

rΣ rΣ rΣ rΣ rΣ

= = , column

decision-making element is called ( )_/

ij ij

rΣ s ,

ij

S is the optimal decision situation that b_jis optimal

countermeasures to deal with a_ievents.

(1) to determine the events, countermeasures, the situation, goals and whitening weight function (2) to give the situation in the effect of sample

(3) an effect of sample sequence (4) to determine the target polarity (5) the effect measure transformation (6) to establish a unified measure space (7) to find satisfaction with the situation

Results and Discussion

1. Iris+ electrical unit lock 2. Face+ electrical unit lock 3. Fingerprint+ electrical unit lock

Situation Set S={S11,S12,S13}They'll form a board set

S11=(a1,b1)=(electrical unit lock, Iris+ electrical unit lock)

S12=(a1,b1)= ( electrical unit lock, Face+ electrical unit lock)

S13=(a1,b1)= ( electrical unit lock, Fingerprint+ electrical unit lock)

According to the assessment to 6 large target, the Lord contains security considerations and considerations of economy, convenience considerations, durability, performance, hunting, and qualitative considerations between the amount of

It is therefore a problem resolution as follows.

1. Countermeasures Set = {Iris+ electrical unit lock, Face+ electrical unit lock, Fingerprint+

electrical unit lock}

2. Situation Set S={S11,S12,S13}

S11=(a1,b1)= (electrical unit lock, Iris+ electrical unit lock)

S13=(a1,b1)= (electrical unit lock, Fingerprint+ electrical unit lock)

3. Target set

Target 1: Security considerations Target 2: Considerations of economy Target 3: Convenience considerations Target 4: Durability considerations

Target 5: Strong qualitative considerations Target 6: The amount of space

4. Result set

Target1: Security Considerations The point for security.

Target2: The CCER is spent points cost.

Target3: The ease of re-ignition is convenience & comfort,

Target4: The durability of the ignition to use age

Target 5: Strong qualitative considerations for the re-ignition is not vulnerable to outside interference

Target 6: Space considerations of the point with the empty time accounted for the size

Target1 and target3 and target5 and target6 is focusing on a custom set of qualitative data, However target2 and target4 is metering data dictionary, It must be done on pre-processing, It is bleached to authorize letter number as follows:

Target 2 Whitenization weight functions

Target 4 Whitenization weight functions

`

[image:6.612.79.464.323.471.2]

II. Unto the board than your opponent effects the sample. (Table 1)

Table 1. Six kinds of your opponent effects the sample.

caseb_j Iris+ electrical

unit lock

Face+ electrical unit lock

Fingerprint+

electrical unit lock Polarity

Target1 excellent Very good good Max

Target2 1,150,000 685,000 45,000 Min

Target3 Very good excellent good Max

Target4 6 8 4 medium

Target5 Very good good excellent Max

Target6 good Very good excellent Min

III. Building a structure effects sequences and so make sure the target of an extreme

( )

1, when 45, 000 1,150, 000

, 5, 000 < 1,150,000 1,150, 000 45, 000

0, 1,150,000 <

x

x

u x x

x

≤

 

−



= ≤

−

 

when 4

when

( )

, w h e n 0 < < 5 5

1 , 5 1 0

, 5 < < 1 0 5

x

x

u x x

x

x

  

=  =

 ₋  

Table 2. Impact of 6 kinds of qualitative and quantitative assessment.

Target1 1

u Target2 2

u Iris+ electrical unit lock excellent 1 1

11=

u 1,150,000 2

11 0

u =

Face+ electrical unit lock Very good 1 0.5

12=

u _685,000 2

12 0.421

u =

Fingerprint+ electrical unit lock good 1 0.2

13=

u _45,000 2

13 1

[image:7.612.95.510.79.297.2]

u =

Table 3. Impact of 6 kinds of qualitative and quantitative assessment.

Target3 3

u Target4 u4

Iris+ electrical unit lock Very good 3 0.5 11=

u 6 4

11 0.8 u =

Face+ electrical unit lock excellent 3 1

12=

u 8 4

1 2 0 .4 u =

Fingerprint+ electrical unit lock good 3 0.4

13=

u ₄ 4 0.8

13=

u

Table 4. Impact of 6 kinds of qualitative and quantitative assessment.

Target5 _u5 _{Target6 u}6

Iris+ electrical unit lock Very good 5 0.5 11=

u good 6 0.4

11=

u

Face+ electrical unit lock good 5 0.4

12=

u Very good t 6 0.5

12= u Fingerprint+ electrical unit lock excellent 5 1

13=

u excellent 6 1

13=

u

Described as follows:

1. To the access control security systems, for the security considerations, the effect measure should be big, the highest factor of the iris and electric lock biometric identification is 1, the factor of face and electric lock is 0.5, and the repeatability is low. The fingerprint and electric lock has the lowest security in the three, so the factor is 0.2 (Table 2).

2. To the access control security system, its cost is the locks, so the effect of measures is taken to be the smaller, the lower the better cost to the price of the currently available iris and electric locks cost about: about 1.15 million unit face and electric lock its price, about 685,000 unit, fingerprint and electric lock its price about: about 45,000 unit, it is according to their price ratio, the coefficient is 0:0.421:1 (Table 2).

3. To the access control security systems, considering about the continence, the face and electric lock is the most convenient with factor of 1, the iris and electric locks factor is 0.5, due to the direct contact required, the coefficient of fingerprint and electricity lock with poor convenience is 0.4 (Table 3).

4. To the access control security systems, its durability is their useful life, so the effect of measures taken purposed their lives for five years as the reference value, so the coefficient sequence for are iris and electric lock of 0.8, face and electric lock of 0.4: and the fingerprint and electric lock of 0.8 (Table 3).

5. To the access control security system, the focus of its stability considerations for the system more sTable, and is not susceptible to outside interference, its effect measure taken Qinwang, wherein the most convenient Fingerprint + electric lock, its coefficient is 1, the iris + electric lock factor of 0.5, the face + electric lock late development, poor stability, therefore a factor of 0.4 (Table 4).

6. To the access control security system, spatial considerations of the size of the space, so the effect measure is taken to be the smaller, including fingerprint + electric locking hardware device is smaller, so the minimum space, most convenient factor 1, face + electric lock its coefficient is 0.5, the iris + electric lock hardware large, and it is more space, so the factor of 0.4 (Table 4).

According to objective experience, neither sow the effects 6 to do qualitative and quantitative

assessment of available(Table 2) and (Table 3) and (Table 4). It is available in the target of the test

results. Its calculated cycle as shown below

Target 1: The high performance test, the higher the security better

1 1 / 1 1

11= =

r r121 =0.5/1=0.5 0.2/1 0.2

1

13 = =

r

2

11 1150000 1150000 /1150000 45000 0

r = − − =

2

12 1150000 685000 / 1150000 45000 0.421

r = − − =

2

13 1150000 45000 / 1150000 45000 1

r = − − =

Target 3: The ceiling effect, finding better and more convenient

5 . 0 1 / 5 . 0 3 11= =

r 3 1/1 1 12 = =

r 3 0.4/1 0.4 13= = r

Target 4: Finding the Center results inu0 =5 X programming, as a reference value

4

11 10 6 / 5 0.8 r = − = 4

12 10 8 / 5 0.4

r = − = 4 4/5 0.8 13= = r

Target5: To take maximum effect measure, so the stability as high as possible

5 . 0 1 / 5 . 0 5

11= =

r 5 0.4/1 0.4

12 = =

r r135 =1/1=1

Target6: Whichever is the lower limit effect measure, so the smaller the space, the better

4 . 0 1 / 4 . 0 6

11= =

r r126 =0.5/1=0.5 1/1 1

6 13 = =

r

The target will be the above test results in a value (Table5)

IV. As a result finding degrees change

Table 5. Degree resolution policy connected torque meter test results. case

attribute

1 2 3

Iris+ electrical unit lock

Face+ electrical unit lock

Fingerprint+ electrical unit lock

A Security: larger-the-better 1 0.5 0.2

B Economy: smaller-the-better 0 0.421 1

C Convenience:

larger-the-better 0.5 1 0.4

D Durability: nominal the best 0.8 0.4 0.8

E Stability: larger-the-better 0.5 0.4 1

F Spatial: smaller-the-better 0.4 0.5 1

V. Set up a test system empty time

Assuming: security, economy, convenience, durability, stability, and the air of time, such as a company, and its effects finding Tables (Table 5)

[ ]

1 0 .5 0 .2 0 0 . 4 2 1 1 0 .5 1 0 .4 0 .1 6 7 0 . 1 6 7 0 .1 6 7 0 .1 6 7 0 .1 6 7 0 .1 6 7

0 .8 0 . 4 0 .8 0 .5 0 . 4 1 0 .4

⋅

0 .5 3 3 3 0 .5 3 6 8 0 .7 3 3 3

0 . 5 1

      _{ }   _{ } =   _{ }   _{ }          

VI. Find out what these creatures were filled with meaning,

11 0.5333

r = ……Iris+ electrical unit lock

1 2 0 . 5 3 6 8

r = ……Face+ electrical unit lock

13 0.7333

r = ……Fingerprint+ electrical unit lock

According to the consolidated test, sort, Size is determined according to policies.

13 12 11

r >r >r

According to the consolidated test r₁₃is best learned that size, because of their corresponding s13Y

is one of the creatures, which is fitted with locks to Selection (refers to any cuttings + Lock) of electrical lock is said unto one of the best. Secondly

This study used unto another type is more than biological identification skills, applying members are invited, ask him about the security, economy, convenience, durability, stability, and the air of time, the Directors re-elected is 0.15 0.25 0.3 0.1 0.1 0.1 as soon as possible, and its effects finding Tables (Table 5)

[ ]

1 0 . 5 0 .2 0 0 . 4 2 1 1 0 . 5 1 0 .4 0 . 3 0 . 1 5 0 . 2 5 0 . 1 0 . 1 0 . 1

0 . 8 0 .4 0 .8 0 . 5 0 .4 1 0 . 4 0 .5 ⋅

0 . 5 9 5 0 . 5 9 3 0 . 5 9 1       _{ }   _{ } =   _{ }   _{ }           0.595

12 0.593

r = ………Face+ electrical unit lock

13 0.59

r = ………Fingerprint+ electrical unit lock

According to the consolidated test, sort, Size is determined according to policies.

11 12 13

r >r >r

According to the consolidated test, X is best learned size, it is one of its corresponding Y board, and that is fitting for locks to Selection (iris + Lock) of electrical lock is one of the best curators unto

Secondly (Thee-+ (a lock) and any cuttings + Lock) Under the consolidated Test size is best learned

11

r , Because their corresponding of the board is s11

, That is, fitted with locks in order to select the (iris + Lock) of the electrical & mechanical lock for one of the best curators unto.

Secondly (Face+Eelectro-mechanical Lock) and (fingerprint+ Eelectro-mechanical Lock).

Conclusion

In this study, the grey decision model of grey theory in the access control is used in the electromechanical lock design applications, assessment factors of security, economy, convenience, durability factor are considered for the design. The result indicated that biometric identification, especially the fingerprint module, at this stage, is the most suiTable for embedding in electromechanical locks for access control security system. Fingerprint technology today in the information society provides the best solution for the enhancement of a comprehensive security system. With the falling price of fingerprint sensor in the future, the decreasing volume of hardware wand the development of law to protection privacy in the future, people will gradually learned that the biometric identification system can bring a lot of conveniences to life, as well as much safer surroundings. So in the future there will be more biometric identification system applied in daily life.

References

[1] Wu Yongyu (2008), Embedded Fingerprint Identification Module the machine electrical unit lock master's thesis, Tamkang University, Mechanical and Electrical and Mechanical Engineering.