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% % &
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– ! .
4. ' # # :
- % 7"0., &
! # # ! SL,
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ABSTRACT
Burmistrov S.V. Synthesis of discrete devices through the use of Boolean functions in
orthogonal form of representation. - Manuscript.
The thesis for the degree of candidate of technical sciences, specialty 05.13.05 – Computer Systems and
Components. - Cherkasy, Cherkasy State Technological University, 2016.
The thesis put and agreed to actual scientific problem of developing methods, models, algorithms for the
synthesis of discrete devices through the use of Boolean functions in the form of orthogonal representation.
For the first time the model of the internal structure of Boolean functions in the form of orthogonal
representations based on the phenomenon of decomposition of Boolean functions by setting fractal genetic
relationships between parent and subsidiaries Boolean functions in the form of fractal genetic embryo subsidiary
of Boolean functions provided a basis for developing a method of minimizing Boolean functions which are the
basis of discrete devices. This model makes it possible while maintaining the coefficients of complexity
implementation SL, SAD, improve the coefficient of SS in the case of commutative selecting logic elements by
10%, use selecting logic elements of a noncommutative input by 32% in the case of all the selecting logic
elements owned relyatyv-group <1 2 times.
Classification of subsets within the complete set of Boolean functions based on common traits described
values of indicators difficulty implementing discrete devices by grouping of Boolean functions in important
structural subsets, which provided the unification of the synthesis of discrete devices in the form of orthogonal
representation. This classification makes it possible to greatly reduce the number of avalanche dependence of the
objects within the complete set of Boolean functions increase the number of arguments and explore not unique
Boolean functions, and subsets of Boolean functions, of which there are several orders of magnitude smaller, and
therefore the systematic study of the whole process set of Boolean functions - several orders of magnitude faster
and easier in time.
For the first time the method of minimizing Boolean functions containing a large number of arguments in
orthogonal form of representation - matrix method of parallel decomposition based on the decomposition of
Boolean functions by introducing basic criteria to minimize that enables advance to predict the degree of
minimization of Boolean functions provided a reduction of time to minimize 4,7 times faster than previous
methods modifications parallel decomposition by increasing or decreasing the base value of the coefficient K.
Developed schematic diagram of cryptographic protection device – the device spelling of encoding
information using the models of the internal structure of Boolean functions, classifications of subsets within the
complete set of Boolean functions, minimization software system.
The research results implemented in enterprises and organizations of the Ministry of Education and
Science of Ukraine.
Keywords: orthogonal presentation of Boolean functions, genetic fractal model of Boolean functions,
basic factor K, matrix method of parallel decomposition, device spelling encoding information
0 60 84/16. 5 9 % . . .
. . . 0,9. 9 # 100 . ) . < 51 12.05.2016 .
07. 3 7.+.
, . ,
. : ( , 389
. (067) 87-87-185
e-mail: Saven1977@yandex.ru

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Burmistrov

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  • 3. 1 0 )('&+0( 0$1". . & , / & , & ! ! % & . !, / % , , (DP), ! # . ' / # , / , & ! : 1) DP; 2) & DP; 3) & , . ' & % ! – DP & & % (BF), . . , % ! . 0 ! .1. * , 2.3. " , .3. $ , 2.2. 4 , 1.+ % , $. , +. % , 1. $ - , 5.$ , 1.$ , +.$.5 & , . .. , . .) , & ’ 6 , .+. , . 7 BF & BF. 3 CS ! BF, .1. * , 5.'. . , . & , , . . ) , ".$. , ".$. " , 2.3. " . ) % % 3.+.8 , +...3 , +...9 , ..$.: , . .) , +. .$ , +.3.+ , . .* , +.$.3 , ".3.3 , ;.7. 1 . ' & % & ! '$!"%&3$' 4 5 2 ,$4 CS ( % ) – CS, / . $ # # / % # ! . !’65 % 7 0" 5 ' !"1" /% *% 1 1", /) ' 1", 0$1 1". % # # . + & - $ , ' 20.12.2013 <179 „7 % # & # , ' 2014–2018 ”, . 1.2.9.1. “" ”, - “+ & %” ( # % ! 0109U001880), % . $0 0 5 2 ,& 2 +)&28$'( ! & # - / % % (7"0.). '$ 79&2' & ' +0 /'& 5 2 ,&: 1. ' # # % & 7"0.. 2. " % 7"0.. 3. . . ' ! . 1 – ! " . # .
  • 4. 2 $ ! % 7"0.. % . # # % ! # . 3 , % % . . 7"0. , % . " ! . ! ' !"5' 0%"1 '"9 %$5 )(0 0&!. 1. + & % & ! ’ # # # %, , / & % / # , / % , / = %. 2. + & % % & , / & % . ' - % - % % % . 3. 7 & % % & %, / / , , , . % 0",'$ 5' ,$''6 0%"1 '"9 %$5 )(0 0&!. . ! # , , %, 7"0. ’ . ' # # : - % 7"0., ! ! ’ # ! . ! # # ! SL, SAD, / ! SS: 1) 10% ; 2) 32% ; 3) 2 , / # <1; - # # %, / ! # % & # # ’! # % . # # % ! # # , # % . 7 # & %, # ! # % ! & ; - % 7"0. – % , / ! # 4,7 %
  • 5. 3 & & & ! &; - % % , % ! # , / - - %. . , / ! ; - %, # # %, . . # # # ! $ . $ )&5 .&6. % ' " # . 7 # % % # : # ! «7">)7'-' +I5 6I8» ( # % « "7:7"7'."7$», . $ 24, . 3 i , ., , 20708) % GALILEO BEIDOU ( # < 006.06.612 07.05.2014 .); # % # ( # 15.09.2015 .), % % ( # < 031/48/713 14.10.2015 .), # - # ( # 16.06.2014 .) + 7"+0"# !'$+ 52 7 ! , . 7 # % # % . ' [11] [13] ! , [8] [12] . + , , # : # # # % [1, 2, 3,4]; # / % % [5]; # % [1-5]; % [6 ,7, 8, 12, 13, 17, 18]; % [10, 11]; COGNATE- [9]; % % [14, 15, 16]. /% 7 .&6 %$5 )(0 0&! 2"+$%0 .&:. 7 # 14 # # : # % - % «2 % , % » ( , 2012); V2 # % - % «3 , % % %» () ## , 2012); II # % - % «0 - , %, - » ( , 2012); 2, 22 222 % - % Internet- « ’ - : , , : % - Internet- » ( , ' , 2013, 2014, 2015); # % - % «? » 17- $ # # «" @ # ((2 » (( , (' "1, 2013); IV # % - % «7 » ( , 9 , 2013); I # % - % «. A » ( A- -9 -. , 2013); % - % «22 %% ## ,, » ( , '9 , 2015); - % «2 , , . 2$ _2015» (3 , 3 , 2015); % - % , , «. # . ' » ($ , . 9 , 2015); (VIII + % % - % # , % 120-% «3 A A @ » ( , 30 , 2015).
  • 6. 4 7)& .&:. 7 # 32 , 18 % – . 7 2 , 2 # 2 , # 14 % . 0% 0 % 0 7+6* 2"+$%0 .&:. % ! ! , , , # (150 % ) . 69 , 31 , 1 . . % ! 209 , 167 . !+0 /& = # , , # , / . + , / . + . ' % . . ’ , , /$%3 1 % 52&)& % ’ %. ) % ’ %. + , , ’ . . . + : • # & % , / ! , & , & & ; • & %, # , , ; • - & ! % ; • % & ; • & , ' % & . ) , % # , , . 7 %. . , / %, , " - $ %, ! # %. . % % % & . 7 % % % . 7 %. ' & , %: ! SL, SAD, SS, SSH, SAC, CS CB, , / , . # CS CB. . % # ( . . 1). # ! ’ # % # , # # .
  • 7. 5 " . 1 – : % # 2% * 1 % 52&)& % & %. . # % f(n). + , / # # %, , % & – , DP, # 92 BF n z 21 = (1) # BF n z 2 2 2= (2) & # (2) # BF = # % f(n). ) # % # # L(n) BF f(n) ! , % & . 7 ! % ! ’ # , / !
  • 8. 6 & # # / , / ! & BF * . i i Qy k Φ∧∪= − = 12 0 . (1) " ! # %, / ! # , / 5 ! : # % f(n); - BF; & BF; BF % % # L(n) ; BF. + % # % ! # # BF # BF . + # # # # # %, # . ) ! 5" BF , / # # # / # % 1 ' , ( . 1 ) , ( , 1. $ i- BF ( BF Qi0 Qi1 2. $ BF, *+, (( n BF Qi0 Qi1, *+ 2 ) *+, BF f(n), n BF Qi0(n-1) Qi1(n-1), *+. 3. ' (( 2.3. , L(n) f(n) , ( , ’ 4. ' , ( , 2 $ ( " BF : (1) – % % % ! # % ( . . 2). " . 2 5 % % BF # BF 5", BF BF
  • 9. 7 # BF f(n), / # % 5", ! ! n BF f(n-1), / # ( . .1). ' # # % & . 7 ! % BF * " , / ! BF ! BF. # % % BF ! ( % 5" <1), / ’! & ( % 5" <1 ), (XOR) ( ) . ( . . 3). " . 3 $ BF f(n) i- 7"0. BF Qi0(n-1) Qi0(n-1) – % ! &, / ! ! % # 7 ! & (1) , % ! ( . . 1) 9 1 1 !&%'&+0( + % ,$''6 &'- %1 .&#'"9 , +0"' 2)6 / !' : 1' 8"'" L(n) !+&9 !0 %"''"9 BF ; // &)( &+0( %* 1$'0&! !0 %"''&# BF $)","' #1 !&%' +0& + % ,$''6 &'- %1 .&#' : , +0"'" 1 1 0,50 2 2 0,125 3 3 0,007 812 5 4 4 0,000 030 517 580 5 5 4,65661*10-10 6 6 1,0842*10-19 $ %$1 3 ' ( " , , " " " ( '( , ( ( ( -. +)&2 " 5 0$ %$1" 3: 1. / " K =r " BF, r – " ( ) " .i..k " 2. $ -. " BF ( ( 0). $ %$1 2.5 0 ( 0). ( BF .$ & " " $ [1, 2, 3, 4, 5, 9, 10, 19, 20, 21, 23, 25, 28, 30] 0%$0( 1 % 52&)& % 7"0. . + .
  • 10. 8 $ BF f(n) = ! 7"0.: 1. 5 % % BF. + BF # % % , % % . . ! « % » « ». + % % ’ . # f(n) ! ! n BF f(n-1) ! ! . 2. . BF. + BF ! . BF . 9 BF, , . 9 # # % 7"0. # ! , , # BF. % ! # & ! BF BF 5". 3. . . + ! # & . % ! # # # % % % # & ) 7"0. 3 & % , % # 7"0.. # % # - : 1. . -, -, % % & & ! &. + & & ! & ! ! 4-9% / , # & & ! &, ! BF & BF (92 BF). 3 % ( . . 4). " . 4 % 7"0. & & ! & . !: + # . + & & ! &. + % & «0» & «1». ) & & 92 BF. $ # CS , . . ! & . BF. ' BF & & ! &: ) ! &. + & ! nK → .
  • 11. 9 2. . -, -, % % & & ! &. + & & ! & ! BF & 92 BF. 3 % ( . . 5) " . 5 % 7"0. & & ! & . !: 7 & 92 BF, / . 5 92 BF , / ! ! . ' BF & & ! &: 7 & % % . # %. 2. $ % -, -, % %. $ % ! & 2 . + ! BF & 92 BF & ! &=1..n. 3 % ( . . 6). . ! , / ! : 7 BF. + , % ! , / # % . + – , % ! & . 4,7 . " , , ! BF Sad, Sl, Ss , & . . PO SBF 7"0. ! SB SBF ! SBF # , . 3 ! PO SBF 7"0. ! BF & / BF. 3 ! ChO BF 7"0. ! BF / BF.
  • 12. 10 " . 6 % 7"0. $ [6, 7, 8, 10, 11, 12, 13, 14, 15, 17, 18, 22, 24, 26, 27, 29, 30, 32] ,$0!$%0 1 % 52&)& , % 7"0.. " .7 CHO BF 7"0. & %
  • 13. 11 + 7$.-1 3 # % . . 7$.-1 3 # , / . ! %, / , % & & . 7 - , / . + - . " 7$.-1 3 ! ( . . 7): - PO BF; - 7 BF; - PO BF; - 7 BF; - % BF, / # & , # BF 5"; - , / BF ; - % SL, SAD, SS, ! % CS CB, ! , / , ! % # 3 CB 8 7$.-1 3 , & , . 9 2 %" ) 2 / +"1! )(' * 2 ! ''6 0 2$ 2 ! ''6 &'- %1 .&: ; / ,. +"1! ) &' %'"# 2 / ,. +"1! ) &'. 2 /$%$2. +"1! ) ; /$%$2. +"1! ) ; 5 2. +"1!. &'. 2 5 2. +"1!. &' %'"# 2 2$ 2. +"1! ) ; 2$ 2. +"1! ) arg 0a 0 0 0 0 1 1 arg 30 aain = arg_ 0 in a 0 0 0 1 0 1 arg 5 arg_ 50 aaa inout == arg 1a 0 0 1 1 1 0 arg 61 aain = arg_ 1 in a 0 0 1 0 1 0 arg 2 arg_ 21 aaa inout == arg 2a 0 1 0 0 0 1 arg 12 aain = arg_ 2 in a 0 1 0 1 0 0 arg 4 arg_ 42 aaa inout == arg 3a 0 1 1 1 1 1 arg 73 aain = arg_ 3 in a 0 1 1 0 0 0 arg 0 arg_ 03 aaa inout == arg 4a 1 0 0 0 1 0 arg 24 aain = arg_ 4 in a 1 0 0 1 1 0 arg 6 arg_ 64 aaa inout == arg 5a 1 0 1 0 0 0 arg 05 aain = arg_ 5 in a 1 0 1 1 1 1 arg 7 arg_ 75 aaa inout == arg 6a 1 1 0 1 0 0 arg 46 aain = arg_ 6 in a 1 1 0 0 0 1 arg 1 arg_ 16 aaa inout == arg 7a 1 1 1 1 0 1 arg 57 aain = arg_ 7 in a 1 1 1 0 1 1 arg 3 arg_ 37 aaa inout == C arg 3f C arg 2f C arg 1f C in f1 C in f2 C in f3 C arg_ 3 in f C arg_ 2 in f C _ 1 in f C out f1 C out f2 C out f3 ,. - ' .&: %* 1$'0&! ' .&: 2 ! ''6 ,. - ' .. 2)6 2$ -'6 ' .&: 2$ 2-'6 3 ! ! & % # . 3 ! ( . . 2 ( )) 3 in f1 , in f2 , in f3 % . + , ! ( . . 2 ( )).
  • 14. 12 " . 8 ) ( ) ( ) 3 out f1 , out f2 , out f3 % . 0 % ! : = = = ),,( ),,( ),,( arg_ 3 arg_ 2 arg_ 133 arg_ 3 arg_ 2 arg_ 122 arg_ 3 arg_ 2 arg_ 111 inininout inininout inininout fffFf fffFf fffFf (3) 7 2 , ! : ( . .8 ( )) ( . . 8 ( )). 7 , %, . ) & ( . . 9) " . 9 ) & # ( . . 10). " . 10: ) &
  • 15. 13 , & , / ! % 5" <23, ! ( . . 11). & & , / % 5" <15, 27, 30, 60,105. " . 11 & , / ! % 5" <23 ) 7$.-1 3 % & % – % . % ! % & % ! 24 % ( . . 3) 9 3 7)".6 &+0"'' +0& +"+0$1" , +0 ! !"5' ,$'"9 7 )$!"9 - ' .&# 2)6 % 5!’65 5 2 ,& 0%"1 ''6 5! % 0' * -& + ! ' * )4, 3"-% ! ''6 ' ,$''6 %62 &! %* 1$'0&! ' ,$''6 , +0 ! !"5' ,$'"9 BF ; %62 BF in f1 in f2 in f3 out f1 out f2 out f3 0 00000000 00000000 00000000 ******** ******** ******** 1 00000000 00000000 00000001 ******** ******** ******** 2 00000000 00000000 00000010 ******** ******** ******** 3 00000000 00000000 00000011 ******** ******** ******** … … … … … … … 1 006 644 00001111 01011100 00110100 ******** ******** ******** 1 006 645 00001111 01011100 00110101 00001111 11000101 01010011 1 006 646 00001111 01011100 00110110 00001111 11000101 01100011 1 006 647 00001111 01011100 00110111 ******** ******** ******** … … … … … … … 16 777 213 11111111 11111111 11111101 ******** ******** ******** 16 777 214 11111111 11111111 11111110 ******** ******** ******** 16 777 215 11111111 11111111 11111111 ******** ******** ******** ! ( . . 4). # . 9 4 $5 )(0 0" 1&'&1&5 .&: ! %0 * ' )('&# - %1& /%$2+0 !)$''6 ; // 0%"1 ''& %$5 )(0 0" . SL . SAD -+0( 1 !'"9 0% '5"+0 %&! 1 3 967 680 40 320 1 008 024 2 3 169 100 9 873 178 997 3 3 17,47% 24,48% 17,75%
  • 16. 14 . 2 ! , / # # , ’ : 1. . ! . 9 / ! , / / ! . 2. 0 ! # & $ , / . 9 # .0 n n 2!< , / & # & ! ( . . 5), % # , . 9 5 2"' &5 ! %& '0&! 2 ! ''6 &'- %1 .&: 5 2 / 1 * 4 !5 <1' : 2$ 1/ 5".&: +"1! )&! ; // "1! ), = /$%$2 <0(+6 3"''"# 2 +"1! ) , = /$%$2 <0(+6 2 2 ! ''6 3"''"# 2 +"1! ) , = /$%$2 <0(+6 /&+)6 2 ! ''6 1 in a5 inininininininin aaaaaaaa 0.051.052.053.054.055.056.057.05 ~ 0.05 ~ 1.05 ~ 2.05 ~ 5.05 ~ 7.05 *** ininininin aaaaa 2 in a9 inininininininin aaaaaaaa 0.091.092.093.094.095.096.097.09 ~ 0.09 ~ 1.09 ~ 2.09 ~ 5.09 ~ 6.05 ~ 7.09 ** inininininin aaaaaa 3 in a7 inininininininin aaaaaaaa 0.071.072.073.074.075.076.077.07 ~ 0.07 ~ 1.07 ~ 2.07 ~ 3.05 ~ 5.07 ~ 6.09 ~ 7.07 * ininininininin aaaaaaa 4 in a3 inininininininin aaaaaaaa 0.031.032.033.034.035.036.037.03 ~ 0.03 ~ 1.03 ~ 2.03 ~ 3.09 ~ 4.05 ~ 5.03 ~ 6.07 ~ 7.03 inininininininin aaaaaaaa 5 in a11 inininininininin aaaaaaaa 0.111.112.113.114.115.116.117.11 ~ 0.11 ~ 1.11 ~ 2.11 ~ 3.07 ~ 4.09 ~ 5.11 ~ 6.03 ~ 7.11 inininininininin aaaaaaaa 6 in a13 inininininininin aaaaaaaa 0.131.132.133.134.135.136.137.13 ~ 0.13 ~ 1.13 ~ 2.13 ~ 3.03 ~ 4.07 ~ 5.13 ~ 6.11 ~ 7.13 inininininininin aaaaaaaa 7 - - ***** ~ 3.11 ~ 4.03 ~ 6.13 ininin aaa 8 - - ****** ~ 3.13 ~ 4.11 inin aa 9 - - ******* ~ 4.13 in a $%$! * 1" !: 1. ' % , / # & . 9 # & . 2. . % % , / ! . 3. )!!1...)!2()!1(!(2 ⋅⋅−⋅−⋅⋅ nnnn , n – $ . $ [12, 14, 15, 16, 28, 29, 30] + & # - / % % (7"0.): 1. + & % & ! ’ # # # %, , / & % / # . % = % % . 2. + & % % &
  • 17. 15 , / & % . ' - % - % % % %. 3. 7 & % % & %, / / , , , . 4. ' # # : - % 7"0., ! ! ’ # ! . ! # # ! SL, SAD, / ! SS: 1) 10% ; 2) 32% ; 3) 2 , / # <1; - # # %, / ! # % & # # ’! # % . # # % ! # # , # % . 7 # & %, # ! # % ! & ; - % 7"0. – % , / ! # 4,7 % & & & ! &; - % % , % ! # , / - - %. . , / ! ; - %, # # %, . " # # . «7">)7'-' +I5 6I8» % +') $ . + & - $ , ' 20.12.2013 <179 „7 % # & # , ' 2014–2018 ”, . 1.2.9.1. “" ”, - “+ & %” ( # % ! 0109U001880), % . > 1. ;.7. 3 / (5"). / ;.7. , 3.+.: , 2.+.3 // + # . – 2011, < 4 − . 39-41.
  • 18. 16 2. ;.7., $ & „ %” / ;.7. , 3.+.: , 2.+.3 // + # . – 2012, < 1 − . 32-34. 3. ;.7. . % / # % (-0) / ;.7. , 3.+.: , 2.+.3 . 3 «. . 2 » // + . – 2012, < 18 (231) − . 93-97. 4. ;.7., 3 / % / ;.7. , 3.+.: , 2.+.3 . // «" @ » – 2012, < 2 (57) − . 67-69. 5. ;. ., " % % – / % A. / ;. . , 1.'.. , 3. .5 , 3.+.: // + # . – 2012, < 4 − . 25-28. 6. ;. . $ A % . / ;. . , 3.+.: , 3.0. . // " @ A A A, 2012, <4, .110-116 7. ;. ., $ A A % % / ;. . , 3.+.: , 3.0. . // . @ . – 2013, 9 12. <3, .413-420 8. ;. ., $ A A % % / ;. . , +.'." %, 3.+.: // ? A A A A . (+A 2). % $ . – . – 2013, .87-100 9. ;.7., ' # % – % COGNATE- . / ;.7. , 3.7. /, 3.+.: // + # . – 2013, < 1 − . 20-23. 10. ;. ., $ A % / A / ;. . , 3.+.: , 1.'.. // + # . – 2013, < 2 − . 33-39. 11. : 3.+. " A % / A A / 3.+.: // " @ A A A, – 2013, <4 (63), – .109-115 12. " % +.'., " A A % & A . / +.'. " %, 3.+.. , 3.+.: // + 9 . – 2014, <1 − . 27-30. 13. : 3.+. . % % % . / 3.+.: // + # . – 2014, < 2 − . 67-73. 14. " % +.'., > % A % A & A % A / +.'." %, 3.+.: , 3.+.5 // : / . +.'." , +.8.$ . – ( : > - 777 «D », – 2014. – . 146-176. 15. " % +.$., 7 & / +.$." %, 3.+.: , 7.3.* & // + # . – 2015, < 1 − . 97-102. 16. " % +.$., 5 % & / +.$." %, 3.+.: , .$.9 , 7.3.* & // + # . – 2015, < 2 − . 99-105. 17. : 3.+., . & @ & A% A % / 3.+.: , 1.'.. // + . . 3 : 9 . – 2015, < 1 − . 189-195.
  • 19. 17 18. : 3.+., . 7.:., $ % % % / : , 7.:. . .// ' . 3 ) % 3 . ' - % # . – 2015, < 4 (21) − . 151-157 19. : 3.+., . 7.$. . % (-0) / 3.+.: , 7.$.. // 2 % , % : % # - , 25-27 2012 – , 2012. – 9 1. – . 141–142. 20. : 3.+., . 1.'. - % A A % / 3.+. : , 1.'. . // 3 , % % %: % V2 # - , 19-21 2012 – ) ## , 2012. – . 246-247. 21. : 3.+. . 7.$. * % / 3.+.: , 7.$.. // 0 - , %, - : % II- # - , 25-27 # 2012 – , 2012. – 3. 102–103. 22. : 3.+. . 7.$. 3 % , % % / 3.+.: , 7.$.. // ’ - : , , : % - Internet- , 18-22 2013 , . , ' , 2013. – 3. 4–5. 23. . % ".7., : 3.+. " MINFORM / ".7. . %, 3.+.: // ’ - : , , : % - Internet- , 18-22 2013 , . , ' , 2013. – . 6–7. 24. : 3.+., . 1.'. 3 A A A % % / 3.+. : , 1.'. . // " @ # ((2 : A # % - % «? » 17-% $ # # , 22-24 2013 ., – ( , (' "?, 2013. – 3. 70-71. 25. : 3.+., / 3. . @ Cognate- A % Extended Data Mining / 3.+. : , 3. . / // 7 : % IV # - , 22-24 2013 – , 2013. – 3. 41–42. 26. : 3.+. $ % % - % / A / 3.+. : // . A : A I # % - % , 19-20 2013 – A- -9 -. , 2013. – 3. 80. 27. +.7., : 3.+. - % % % / +.7. , 3.+. : // ’ - : , , : % - , 17-21 2014 ., . , ' , 2014. – . 13–15. 28. : 3.+. + % & / 3.+. : // ’ - : , , : % - Internet- , 16-20 2015 ., . , ' , 2015. – . 48–49. 29. : 3.+. + ! & / 3.+. : // 22 %% ## ,, :: - , 16 2015 ., . , % % % , 2015. – . 102-103. 30. : 3.+. & / 3.+. : // 2 , , . 2$ :2015: - , 20-25 2015 ., . 3 , 3 % # % , 2015. – . 152.
  • 20. 18 31. : 3.+., . 7.$. 7 % & # / 3.+. : , 7.$. . // . # . ' : - , , , 20-24 2015 ., . $ , . % # % % , 2015. – . 122. 32. : 3.+. . A A % % / 3.+. : // 3 A A @ : A (VIII + % % - % A A # A , / % 120-% / , 6-8 2015 ., . , 3 % A% , 2015. – . 255-259. : 3.+. 3 % % . – " . 05.13.05 – ' . – : % # % % , 2016. + & # - / % % : 1. + & % & ! ’ # # # %. 2. + & % % , / & . ' - % - % % % 3. 7 & % % & – %, % % % & % ’! – ! . 4. ' # # : - % 7"0., & ! # # ! SL, SAD, / ! SS 2 ; - % 7"0. – % , / ! # 4,7 % & & & ! &; - % % , % ! # , / - - %. . , / ! ; - %, # # %, . " # # ! $ .
  • 21. 19 )4, !& +) ! : %, , % ! &, % , % . : 3.+. 3 A % A % % . - " . % 05.13.05 – A A A. – A: % A% % , 2016. + & # - A& A % A % & % : 1. + A % % A % # A A& % % % # # A %, % / , A A % # A % A % / A A # , A % % , % A # A A %. 2. + A A % % % , & A % & . ' A - A% - A % A % % 3. . %& A A % A % % , / A % & A , , , A % % / A 4. ' A % A / A: - . # A % 7"0., A # A A A % . # % @ # SL, SAD, & @ SS: 1) 10% A A / @ ; 2) 32% A / @ A ; 3) 2 A A / @ , # / <1; - & # # A %, % & A E # A % . # # A % # A A , # A % A @ A. . # & %, # A % / ; - " A % 7"0. – A% % , # 4,7 A % & A / % & @ &; - ' A % A% , / % A A % , A -
  • 22. 20 A A - A A %. . , ; - " A % / A % A %, # # A %, . . A # A $ A. )4,$!?$ +) ! : A %, % , A% @ &, A% % , % . ABSTRACT Burmistrov S.V. Synthesis of discrete devices through the use of Boolean functions in orthogonal form of representation. - Manuscript. The thesis for the degree of candidate of technical sciences, specialty 05.13.05 – Computer Systems and Components. - Cherkasy, Cherkasy State Technological University, 2016. The thesis put and agreed to actual scientific problem of developing methods, models, algorithms for the synthesis of discrete devices through the use of Boolean functions in the form of orthogonal representation. For the first time the model of the internal structure of Boolean functions in the form of orthogonal representations based on the phenomenon of decomposition of Boolean functions by setting fractal genetic relationships between parent and subsidiaries Boolean functions in the form of fractal genetic embryo subsidiary of Boolean functions provided a basis for developing a method of minimizing Boolean functions which are the basis of discrete devices. This model makes it possible while maintaining the coefficients of complexity implementation SL, SAD, improve the coefficient of SS in the case of commutative selecting logic elements by 10%, use selecting logic elements of a noncommutative input by 32% in the case of all the selecting logic elements owned relyatyv-group <1 2 times. Classification of subsets within the complete set of Boolean functions based on common traits described values of indicators difficulty implementing discrete devices by grouping of Boolean functions in important structural subsets, which provided the unification of the synthesis of discrete devices in the form of orthogonal representation. This classification makes it possible to greatly reduce the number of avalanche dependence of the objects within the complete set of Boolean functions increase the number of arguments and explore not unique Boolean functions, and subsets of Boolean functions, of which there are several orders of magnitude smaller, and therefore the systematic study of the whole process set of Boolean functions - several orders of magnitude faster and easier in time. For the first time the method of minimizing Boolean functions containing a large number of arguments in orthogonal form of representation - matrix method of parallel decomposition based on the decomposition of Boolean functions by introducing basic criteria to minimize that enables advance to predict the degree of minimization of Boolean functions provided a reduction of time to minimize 4,7 times faster than previous methods modifications parallel decomposition by increasing or decreasing the base value of the coefficient K. Developed schematic diagram of cryptographic protection device – the device spelling of encoding information using the models of the internal structure of Boolean functions, classifications of subsets within the complete set of Boolean functions, minimization software system. The research results implemented in enterprises and organizations of the Ministry of Education and Science of Ukraine. Keywords: orthogonal presentation of Boolean functions, genetic fractal model of Boolean functions, basic factor K, matrix method of parallel decomposition, device spelling encoding information
  • 23. 0 60 84/16. 5 9 % . . . . . . 0,9. 9 # 100 . ) . < 51 12.05.2016 . 07. 3 7.+. , . , . : ( , 389 . (067) 87-87-185 e-mail: Saven1977@yandex.ru