SlideShare a Scribd company logo
Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Vol. 5, No. 2, June 2017, pp. 155~161
ISSN: 2089-3272, DOI: 10.11591/ijeei.v5i2.258  155
Received Oct 20, 2016; Revised April 21, 2017; Accepted May 12, 2017
Computing Some Degree-Based Topological Indices of
Graphene
Vijayalaxmi Shigehalli, Rachanna Kanabur*
Deparment of Mathematics
Rani Channamma University, Belagavi-591156
Karnataka, India
e-mail: rachukanabur@gmail.com
Abstract
Graphene is one of the most promising nanomaterial because of its unique combination of superb
properties, which opens a way for its exploitation in a wide spectrum of applications ranging from
electronics to optics, sensors, and bio devices. Inspired by recent work on Graphene of computing
topological indices, here we compute new topological indices viz. Arithmetic-Geometric index (AG2 index),
SK3 index and Sanskruti index of a molecular graph G and obtain the explicit formulae of these indices for
Graphene.
Keywords: Arithmetic-Geometric index (AG2 index), SK3 index, sanskruti index, graphene.
1. Introduction
A molecular graph is a representation of a chemical compound having atoms as
vertices and the bonds between atoms correspond to the edge of the graph. The collection of
vertices of a graph, says G, is denoted by V (G) and the set of edges is denoted by E (G). The
degree of a vertex v of a graph is the number of vertices of G adjacent to v, denoted by dG (v)
or simply as dv [3].
Molecular graphs are a special type of chemical graphs, which represent the
constitution of molecules. They are also called constitutional graphs. When the constitutional
graph of a molecule is represented in a two-dimentional basis it is called structural graphs [7, 8].
Topological invariant of a graph is a single number descriptor which is correlated to
certain chemical, thermodynamical and biological behavior of the chemical compounds. Several
topological indices have been defined over past decades which depend on degree of vertices.
2. Computing the Topological Indices of Graphene.
Graphene is an atomic scale honeycomb lattice made of carbon atoms. Graphene is
200 times stronger than steel, one million times thinner than a human hair, and world’s most
conductive material. So it has captured the attention of scientists, researchers, and industries
worldwide. It is one of the most promising nanomaterials because of its unique combination of
superb properties, which opens a way for its exploitation in a wide spectrum of applications
ranging from electronics to optics, sensors, and biodevices. Also it is the most effective material
for electromagnetic interference (EMI) shielding. Now we focus on computation of topological
indices of Graphene [1, 4].
Motivated by previous research on Graphene [4,6,11-14], here we compute three new
topological indices viz. Arithmetic-Geometric index (AG2 index), SK3 index and Sanskruti index
of a molecular graph G and obtain the explicit formulae of these indices for Graphene.
2.1. Arithmetic-Geometric (AG2) Index
Let G = (V, E) be a molecular graph, and SG(u) is the degree of the vertex u, then AG2
index of G is defined as
AG2 (G) =
   
   , ( ) 2 .
G G
u v E G G G
S u S v
S u S v


 ISSN: 2089-3272
IJEEI Vol. 5, No. 2, June 2017 : 155 – 161
156
where, AG2 index is considered for distinct vertices.
The above equation is the sum of the ratio of the Arithmetic mean and Geometric mean
of u and v, where SG (u) (or SG (v)) is the summation of degrees of all neighbours of vertex u
(or v) in G.
SG (u) =
 
, ( )
G
u v E G
d u


and NG (u) = {vV (G)/uvE (G)}
2.2. SK3 Index
The SK3 index of a graph G = (V, E) is defined as
SK3 (G) =
   
, ( ) 2
G G
u v E G
S u S v



where SG (u) (or SG (v)) is the summation of degrees of all neighbours of vertex u (or v) in G.
SG (u) =
 
, ( )
G
u v E G
d u


and NG (u) = {vV (G)/uvE (G)}
2.3. Sanskruti Index
Recently, Hosamani [9], studied a novel topological index, namely the Sanskruti index S
(G) of a molecular graph G, which is denoted as
S (G) =
   
   
3
( )
.
2
G G
uv E G G G
S u S v
S u S v
 
    

where SG (u) (or SG (v)) is the summation of degrees of all neighbours of vertex u (or v) in G.
SG (u) =
 
, ( )
G
u v E G
d u


and NG (u) = {vV (G)/uvE (G)}
3. Main Results
3.1. The AG2 index of Graphene is
AG2 (G) =
6.0588 2.0277 3 1.0032 1
5.0119 1.0578 1
6 1, 1
t s ts if t
s if t
if t s
   

 
  
Let ei, j denote the number of edges with i=Su and j=Sv. It is easy to see that the
summation of degrees of edge endpoints of Graphene has nine edge types e4,5, e5,5, e5,7, e5,8, e6,7,
e7,9, e8,8, e8,9 and e9,9 that are enumerated Table 1. For convenience these edge type are colored
by grey, yellow, red, purple, blue, green, light blue, brown, and black, respectively, as shown in
Figure 1.
IJEEI ISSN: 2089-3272 
Computing Some Degree-Based Topological Indices… (Rachanna R Kanabur)
157
Figure 1. Colors of Graphene Edge (1)
Figure 2. Colors of Graphene Edge (2)
Case 1. The AG2 index of Graphene for t ≠1 is
AG2 (G) =
   
   , ( ) 2 .
G G
u v E G G G
S u S v
S u S v


Table 1. Nine edge types of Graphene
Rows e4,5 e5,5 e5,7 e5,8 e6,7 e7,9 e8,8 e8,9 e9,9
1
2
3
4
.
.
.
t-2
t-1
t
Total
2
0
0
0
.
.
.
0
0
2
4
1
1
1
1
.
.
.
1
1
1
t
3
1
0
0
.
.
.
0
1
3
8
1
1
2
2
.
.
.
2
1
1
2t-4
2s-4
0
0
0
.
.
.
0
0
2s-4
4s-8
s
0
0
0
.
.
.
0
0
s
2s
0
1
1
1
.
.
.
1
1
0
t-2
1
2
2
2
.
.
.
2
1
0
2t-4
2s-3
3s-4
3s-4
3s-4
.
.
.
3s-4
3s-4
0
3ts-4s-
4t+5
AG2 (G) =  4,5e 4 5
2 20
 
 
 
+  5,5e 5 5
2 25
 
 
 
+  5,7e 5 7
2 35
 
 
 
+ 5,8e 5 8
2 40
 
 
 
+ 6,7e
6 7
2 42
 
 
 
 7,9e 7 9
2 63
 
 
 
+  8,8e 8 8
2 64
 
 
 
+ 9,8e 9 8
2 72
 
 
 
+ 9,9e 9 9
2 81
 
 
 
=  4 9
2 20
 
 
 
+  t 10
2 25
 
 
 
+  8 12
2 35
 
 
 
+ 2 4t  13
2 40
 
 
 
+ 4 8s  13
2 42
 
 
 
 ISSN: 2089-3272
IJEEI Vol. 5, No. 2, June 2017 : 155 – 161
158
+  2s 16
2 63
 
 
 
+ 2t  16
2 64
 
 
 
+ 2 4t  17
2 72
 
 
 
+ 3 4 4 5ts s t   18
2 81
 
 
 
13 17 26 16
5 1 4 4 3
40 72 42 63
18 48 26 52 34
2 5
20 35 40 42 72
t s ts
   
            
   
 
      
 
= 6.0588t + 2.0277s + 3ts - 1.0032
Case 2. For t=1 and s>1, Graphene has five types of edges, namely e4,4, e4,5, e5,7, e6,7,
and e7,7. These edges are colored in orange, pink, red, blue, and lavender, respectively, as
shown in Figure 2. The number of edges of these types is shown in Table 2
Table 2. The Number of Edges
Number of
benzene rings(s)
e4, 4 e4, 5 e5, 7 e6, 7 e7, 7
2
3
4
5
.
.
s-1
s
2
2
2
2
.
.
2
2
4
4
4
4
.
.
4
4
4
4
4
4
.
.
4
4
0
4
8
12
.
.
4s-12
4s-8
1
2
3
4
.
.
s-2
s-1
AG2 (G) =  4,4e 4 4
2 16
 
 
 
+  4,5e 4 5
2 20
 
 
 
+  5,7e 5 7
2 35
 
 
 
+ 6,7e 6 7
2 42
 
 
 
+  7,7e 7 7
2 49
 
 
 
=  2 8
2 16
 
 
 
+ 4 9
2 20
 
 
 
+  4 12
2 35
 
 
 
+ 4 8s  13
2 40
 
 
 
+ 1s  14
2 49
 
 
 
18 24 52 26
2 1 1
20 35 42 42
t s
   
         
  
= 5.0119s + 1.0578
Case 3. For t=1 and s=1, we have only 6 edges of the type e4,4 as shown in Figure 3.
Figure 3. Type e4,4 with 6 Edges
IJEEI ISSN: 2089-3272 
Computing Some Degree-Based Topological Indices… (Rachanna R Kanabur)
159
AG2 (G) =  4,4e 4 4
6
2 16
 
 
 
3.2. The SK3 index of Graphene is
SK3 (G) =
7 6 27 17 1
33 9 1
24 1, 1
t s ts if t
s if t
if t s
   

 
  
Proof: Let ei,j denote the number of edges with i=Su and j=Sv. It is easy to see that the
summation of degrees of edge endpoints of Graphene has nine edge types e4,5, e5,5, e5,7, e5,8, e6,7,
e7,9, e8,8, e8,9 and e9,9 that are enumerated Table1. For convenience these edge type are colored
by grey, yellow, red, purple, blue, green, light blue, brown, and black, respectively, as shown in
Figure1.
Case 1. The SK3 index of Graphene for t ≠1 is
SK3 (G) =
   
, ( ) 2
G G
u v E G
S u S v



SK3(G) =  4,5e 4 5
2
 
 
 
+ 5,5e 5 5
2
 
 
 
+  5,7e 5 7
2
 
 
 
+  5,8e 5 8
2
 
 
 
+ 6,7e 6 7
2
 
 
 
+
 7,9e 7 9
2
 
 
 
+  8,8e 8 8
2
 
 
 
+  9,8e 9 8
2
 
 
 
+ 9,9e 9 9
2
 
 
 
=  4 9
2
 
 
 
+  t 10
2
 
 
 
+  8 12
2
 
 
 
+ 2 4t  13
2
 
 
 
+ 4 8s  13
2
 
 
 
+ 2s 16
2
 
 
 
+  2t 
16
2
 
 
 
+ 2 4t  17
2
 
 
 
+ 3 4 4 5ts s t   18
2
 
 
 
     5 13 8 17 36 26 16 36 27 18 48 26 52 16 34 45t s ts               
= 7t + 6s + 27ts – 17
Case 2. For t=1 and s>1, Graphene has five types of edges, namely e4,4, e4,5, e5,7, e6,7,
and e7,7. These edges are colored in orange, pink, red, blue, and lavender, respectively, as
shown in Figure 2. The number of edges of these types is shown in Table 2.
SK3 (G) =  4,4e 4 4
2
 
 
 
+ 4,5e 4 5
2
 
 
 
+  5,7e 5 7
2
 
 
 
+ 6,7e 6 7
2
 
 
 
+ 7,7e 7 7
2
 
 
 
=  2 8
2
 
 
 
+ 4 9
2
 
 
 
+  4 12
2
 
 
 
+ 4 8s  13
2
 
 
 
+ 1s  14
2
 
 
 
   8 18 24 52 7 26 7t s      
= 33s – 9
 ISSN: 2089-3272
IJEEI Vol. 5, No. 2, June 2017 : 155 – 161
160
Case 3. For t=1 and s=1, we have only 6 edges of the type e4, 4 as shown in Figure 3.
SK3 (G) =  4,4e 4 4
24
2
 
 
 
3.3. The Sanskruti index of Graphene is
S (G) =
389.22 75.58 114.06 186.08 1
290.72 210.68 1, 1
113.76 1, 1
ts t s if t
s if t s
if t s
   

  
  
Proof: Let ei, j denote the number of edges with i=Su and j=Sv. It is easy to see that the
summation of degrees of edge endpoints of Graphene has nine edge types e4,5, e5,5, e5,7, e5,8, e6,7,
e7,9, e8,8, e8,9 and e9,9 that are enumerated Table 1. For convenience these edge type are colored
by grey, yellow, red, purple, blue, green, light blue, brown, and black, respectively, as shown in
Figure 1.
Case 1. The Sanskruti index of Graphene for t ≠1 is
S (G) =    
   
3
( )
.
2
G G
uv E G G G
S u S v
S u S v
 
    

S (G) =  4,5e
3
4 5
4 5 2
 
   
+ 5,5e
3
5 5
5 5 2
 
   
+  5,7e
3
5 7
5 7 2
 
   
+ 5,8e
3
5 8
5 8 2
 
   
+
 6,7e
3
6 7
6 7 2
 
   
+  7,9e 3
7 9
7 9 2
 
   
+ 8,8e
3
8 8
8 8 2
 
   
+ 9,8e
3
9 8
9 8 2
 
   
+  9,9e
3
9 9
9 9 2
 
   
=  4
3
20
7
 
 
 
+  t
3
25
8
 
 
 
+  8
3
35
10
 
 
 
+  2 4t 
3
40
11
 
 
 
+ 4 8s 
3
42
11
 
 
 
+  2s
3
63
14
 
 
 
+
 2t 
3
64
14
 
 
 
+  2 4t 
3
72
15
 
 
 
+ 3 4 4 5ts s t  
3
81
16
 
 
 
3 3 3 3 3 3 3 3 3
3 3 3 3 3
25 40 64 72 81 42 63 81 81
2 2 4 4 2 4 3
8 11 14 15 16 11 14 16 16
20 35 40 42 64
4 8 4 8 2 4
7 10 11 11 14
t s ts
                    
                                                    
         
             
         
3 3
72 81
5
15 16
    
         
= 389.22t s – 75.58t – 114.06s – 186.08
Case 2. For t=1 and s>1, Graphene has five types of edges, namely e4,4, e4,5, e5,7, e6,7,
and e7,7. These edges are colored in orange, pink, red, blue, and lavender, respectively, as
shown in Figure 2. The number of edges of these types is shown in Table 2.
IJEEI ISSN: 2089-3272 
Computing Some Degree-Based Topological Indices… (Rachanna R Kanabur)
161
S (G) =  4,4e
3
4 4
4 4 2
 
   
+  4,5e
3
4 5
4 5 2
 
   
+ 5,7e
3
5 7
5 7 2
 
   
+  6,7e
3
6 7
6 7 2
 
   
+
 7,7e
3
7 7
7 7 2
 
   
=  2
3
16
6
 
 
 
+  4
3
20
7
 
 
 
+  4
3
35
10
 
 
 
+ 4 8s 
3
42
11
 
 
 
+ 1s 
3
49
12
 
 
 
3 3 3 3 3 3 3
42 49 16 20 35 42 49
4 2 4 4 8 1
11 12 6 7 10 11 12
s
                
                                         
= 290.72s – 210.68
Case 3. For t=1 and s=1, we have only 6 edges of the type e4, 4 as shown in Figure 3
S (G) =  4,4e
3
4 4
113.76
4 4 2
 
   
4. Conclusion
In this paper we have computed the Arithmetic-Geometric (AG2) index, SK3 index and
Sanskruti index S (G) of Graphene is obtained without using computer.
References
[1] A Madanshekaf, M Moradi. The first geometric-arithmetic index of some nanostar dendrimers. Iran. J.
Math. chem. 2014; 5: 1-6.
[2] D Vukicevic, B Furtula. Topological index based on the ratios of geometrical and arithmetical mean of
end-vertex degrees of edges. J. Math. Chem. 2009; 26: 1369-1376.
[3] F Harary. Graph theory. Addison-Wesely. Reading mass. 1969.
[4] G Sridhar, MR Rajesh Kanna, RS Indumathi. Computation of Topological Indices of Graphene.
Hindawi Publishing Corporation Journal of Nanomaterials. 2015; 1-8.
[5] Gutman. Degree-based topological indices. Croat. Chem. Acta. 2013; 86: 251-361.
[6] K Lavanya Lakshmi. A highly correlated topological index for polyacenes. Journal of Experimental
Sciences. 2012; 3(4): 18-21.
[7] MV Diudea, I Gutman, J Lorentz. Molecular Topology. Romania: Babes-Bolyai University. 2001.
[8] N Trinajstic. Chemical Graph theory. Boca Raton: CRC Press. 1992.
[9] SM Hosamani. Computing Sanskruti index of certain nanostructures. J. Appl. Math. Comput. 2016; 1-
9.
[10] SM Hosamani, I Gutman. Zagreb indices of transformation graphs and total transformation graphs.
Appl.Math.Comput. 2014; 247: 1156-1160.
[11] VS Shegehalli, R Kanabur. Arithmetic-Geometric indices of some class of Graph. Journal of Computer
and Mathematical sciences. 2015; 6(4): 194-199.
[12] VS Shegehalli, R Kanabur. New Version of Degree-Based Topological Indices of Certain nanotube.
Journal of Mathematical Nano science. 2016; 6(1-2): 29-39.
[13] VS Shegehalli, R Kanabur. Computing Degree-Based Topological Indices of Polyhex Nanotubes.
Journal of Mathematical Nano science. 2016; 6(1-2): 59-68.
[14]VS Shegehalli, R Kanabur. Computation of New Degree-Based Topological Indices of Graphene.
Journal of Mathematics. 2016; 1-6.

More Related Content

What's hot

Observations On X2 + Y2 = 2Z2 - 62W2
Observations On  X2 + Y2 = 2Z2 - 62W2Observations On  X2 + Y2 = 2Z2 - 62W2
Observations On X2 + Y2 = 2Z2 - 62W2
IRJET Journal
 
Final exam g8 correction
Final exam g8 correctionFinal exam g8 correction
Final exam g8 correctionzeinabze
 
Integral solutions of the ternary cubic equation
Integral solutions of the ternary cubic equation Integral solutions of the ternary cubic equation
Integral solutions of the ternary cubic equation
eSAT Journals
 
Ix class
Ix classIx class
Ix class
Amir Ali
 
Tugas 2 turunan
Tugas 2 turunanTugas 2 turunan
Tugas 2 turunan
Monica ROselina
 
Product analysis formulas: The catalan numbers and its relation with the prod...
Product analysis formulas: The catalan numbers and its relation with the prod...Product analysis formulas: The catalan numbers and its relation with the prod...
Product analysis formulas: The catalan numbers and its relation with the prod...
Carlos López
 
Tugas 5.6 kalkulus aplikasi integral tentu (luas bidang datar)
Tugas 5.6 kalkulus aplikasi integral tentu (luas bidang datar)Tugas 5.6 kalkulus aplikasi integral tentu (luas bidang datar)
Tugas 5.6 kalkulus aplikasi integral tentu (luas bidang datar)
Nurkhalifah Anwar
 
Luas daerah bidang datar (kalkulus integral)
Luas daerah bidang datar (kalkulus integral) Luas daerah bidang datar (kalkulus integral)
Luas daerah bidang datar (kalkulus integral)
Nurkhalifah Anwar
 
IRJET- On the Homogeneous Ternary Quadratic Diophantine Equation 3(X+Y)2-2xy=...
IRJET- On the Homogeneous Ternary Quadratic Diophantine Equation 3(X+Y)2-2xy=...IRJET- On the Homogeneous Ternary Quadratic Diophantine Equation 3(X+Y)2-2xy=...
IRJET- On the Homogeneous Ternary Quadratic Diophantine Equation 3(X+Y)2-2xy=...
IRJET Journal
 
Lattice points on the homogeneous cone 5(x2+y2) 9xy=23z2
Lattice points on the homogeneous cone 5(x2+y2)  9xy=23z2Lattice points on the homogeneous cone 5(x2+y2)  9xy=23z2
Lattice points on the homogeneous cone 5(x2+y2) 9xy=23z2
eSAT Journals
 
Support Vector Machines
Support Vector MachinesSupport Vector Machines
Support Vector Machines
sarith divakar
 
Matematik Tambahan Skema set 1
Matematik Tambahan Skema set 1Matematik Tambahan Skema set 1
Matematik Tambahan Skema set 1
Pauling Chia
 

What's hot (14)

Observations On X2 + Y2 = 2Z2 - 62W2
Observations On  X2 + Y2 = 2Z2 - 62W2Observations On  X2 + Y2 = 2Z2 - 62W2
Observations On X2 + Y2 = 2Z2 - 62W2
 
Final exam g8 correction
Final exam g8 correctionFinal exam g8 correction
Final exam g8 correction
 
Integral solutions of the ternary cubic equation
Integral solutions of the ternary cubic equation Integral solutions of the ternary cubic equation
Integral solutions of the ternary cubic equation
 
Ix class
Ix classIx class
Ix class
 
Kelantan mtambahan + skema
Kelantan mtambahan + skemaKelantan mtambahan + skema
Kelantan mtambahan + skema
 
Tugas 2 turunan
Tugas 2 turunanTugas 2 turunan
Tugas 2 turunan
 
Product analysis formulas: The catalan numbers and its relation with the prod...
Product analysis formulas: The catalan numbers and its relation with the prod...Product analysis formulas: The catalan numbers and its relation with the prod...
Product analysis formulas: The catalan numbers and its relation with the prod...
 
Tugas 5.6 kalkulus aplikasi integral tentu (luas bidang datar)
Tugas 5.6 kalkulus aplikasi integral tentu (luas bidang datar)Tugas 5.6 kalkulus aplikasi integral tentu (luas bidang datar)
Tugas 5.6 kalkulus aplikasi integral tentu (luas bidang datar)
 
Luas daerah bidang datar (kalkulus integral)
Luas daerah bidang datar (kalkulus integral) Luas daerah bidang datar (kalkulus integral)
Luas daerah bidang datar (kalkulus integral)
 
IRJET- On the Homogeneous Ternary Quadratic Diophantine Equation 3(X+Y)2-2xy=...
IRJET- On the Homogeneous Ternary Quadratic Diophantine Equation 3(X+Y)2-2xy=...IRJET- On the Homogeneous Ternary Quadratic Diophantine Equation 3(X+Y)2-2xy=...
IRJET- On the Homogeneous Ternary Quadratic Diophantine Equation 3(X+Y)2-2xy=...
 
Lattice points on the homogeneous cone 5(x2+y2) 9xy=23z2
Lattice points on the homogeneous cone 5(x2+y2)  9xy=23z2Lattice points on the homogeneous cone 5(x2+y2)  9xy=23z2
Lattice points on the homogeneous cone 5(x2+y2) 9xy=23z2
 
Index laws ppt
Index laws pptIndex laws ppt
Index laws ppt
 
Support Vector Machines
Support Vector MachinesSupport Vector Machines
Support Vector Machines
 
Matematik Tambahan Skema set 1
Matematik Tambahan Skema set 1Matematik Tambahan Skema set 1
Matematik Tambahan Skema set 1
 

Similar to Computing Some Degree-Based Topological Indices of Graphene

International Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentInternational Journal of Engineering Research and Development
International Journal of Engineering Research and Development
IJERD Editor
 
On Cubic Graceful Labeling
On Cubic Graceful LabelingOn Cubic Graceful Labeling
On Cubic Graceful Labeling
rahulmonikasharma
 
ZAGREB INDICES AND ZAGREB COINDICES OF SOME GRAPH OPERATIONS
ZAGREB INDICES AND ZAGREB COINDICES OF SOME GRAPH OPERATIONSZAGREB INDICES AND ZAGREB COINDICES OF SOME GRAPH OPERATIONS
ZAGREB INDICES AND ZAGREB COINDICES OF SOME GRAPH OPERATIONS
IAEME Publication
 
Appendix b 2
Appendix b 2Appendix b 2
Appendix b 2Loc Tran
 
International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)
irjes
 
DISTANCE TWO LABELING FOR MULTI-STOREY GRAPHS
DISTANCE TWO LABELING FOR MULTI-STOREY GRAPHSDISTANCE TWO LABELING FOR MULTI-STOREY GRAPHS
DISTANCE TWO LABELING FOR MULTI-STOREY GRAPHS
graphhoc
 
Radix-3 Algorithm for Realization of Type-II Discrete Sine Transform
Radix-3 Algorithm for Realization of Type-II Discrete Sine TransformRadix-3 Algorithm for Realization of Type-II Discrete Sine Transform
Radix-3 Algorithm for Realization of Type-II Discrete Sine Transform
IJERA Editor
 
Radix-3 Algorithm for Realization of Type-II Discrete Sine Transform
Radix-3 Algorithm for Realization of Type-II Discrete Sine TransformRadix-3 Algorithm for Realization of Type-II Discrete Sine Transform
Radix-3 Algorithm for Realization of Type-II Discrete Sine Transform
IJERA Editor
 
New Classes of Odd Graceful Graphs - M. E. Abdel-Aal
New Classes of Odd Graceful Graphs - M. E. Abdel-AalNew Classes of Odd Graceful Graphs - M. E. Abdel-Aal
New Classes of Odd Graceful Graphs - M. E. Abdel-Aal
GiselleginaGloria
 
On the 1-2-3-edge weighting and Vertex coloring of complete graph
On the 1-2-3-edge weighting and Vertex coloring of complete graphOn the 1-2-3-edge weighting and Vertex coloring of complete graph
On the 1-2-3-edge weighting and Vertex coloring of complete graph
ijcsa
 
E-Cordial Labeling of Some Mirror Graphs
E-Cordial Labeling of Some Mirror GraphsE-Cordial Labeling of Some Mirror Graphs
E-Cordial Labeling of Some Mirror Graphs
Waqas Tariq
 
Cordial Labelings in the Context of Triplication
Cordial Labelings in the Context of  TriplicationCordial Labelings in the Context of  Triplication
Cordial Labelings in the Context of Triplication
IRJET Journal
 
FURTHER RESULTS ON ODD HARMONIOUS GRAPHS
FURTHER RESULTS ON ODD HARMONIOUS GRAPHSFURTHER RESULTS ON ODD HARMONIOUS GRAPHS
FURTHER RESULTS ON ODD HARMONIOUS GRAPHS
Fransiskeran
 
FURTHER RESULTS ON ODD HARMONIOUS GRAPHS
FURTHER RESULTS ON ODD HARMONIOUS GRAPHSFURTHER RESULTS ON ODD HARMONIOUS GRAPHS
FURTHER RESULTS ON ODD HARMONIOUS GRAPHS
graphhoc
 
Go3112581266
Go3112581266Go3112581266
Go3112581266
IJERA Editor
 
X4102188192
X4102188192X4102188192
X4102188192
IJERA Editor
 
Magicness in Extended Duplicate Graphs
Magicness  in Extended Duplicate GraphsMagicness  in Extended Duplicate Graphs
Magicness in Extended Duplicate Graphs
IRJET Journal
 
Generation of Pythagorean triangle with Area/ Perimeter as a Wagstaff prime n...
Generation of Pythagorean triangle with Area/ Perimeter as a Wagstaff prime n...Generation of Pythagorean triangle with Area/ Perimeter as a Wagstaff prime n...
Generation of Pythagorean triangle with Area/ Perimeter as a Wagstaff prime n...
IRJET Journal
 

Similar to Computing Some Degree-Based Topological Indices of Graphene (20)

International Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentInternational Journal of Engineering Research and Development
International Journal of Engineering Research and Development
 
On Cubic Graceful Labeling
On Cubic Graceful LabelingOn Cubic Graceful Labeling
On Cubic Graceful Labeling
 
ZAGREB INDICES AND ZAGREB COINDICES OF SOME GRAPH OPERATIONS
ZAGREB INDICES AND ZAGREB COINDICES OF SOME GRAPH OPERATIONSZAGREB INDICES AND ZAGREB COINDICES OF SOME GRAPH OPERATIONS
ZAGREB INDICES AND ZAGREB COINDICES OF SOME GRAPH OPERATIONS
 
Appendix b 2
Appendix b 2Appendix b 2
Appendix b 2
 
International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)International Refereed Journal of Engineering and Science (IRJES)
International Refereed Journal of Engineering and Science (IRJES)
 
Appendix b 2
Appendix b 2Appendix b 2
Appendix b 2
 
DISTANCE TWO LABELING FOR MULTI-STOREY GRAPHS
DISTANCE TWO LABELING FOR MULTI-STOREY GRAPHSDISTANCE TWO LABELING FOR MULTI-STOREY GRAPHS
DISTANCE TWO LABELING FOR MULTI-STOREY GRAPHS
 
Radix-3 Algorithm for Realization of Type-II Discrete Sine Transform
Radix-3 Algorithm for Realization of Type-II Discrete Sine TransformRadix-3 Algorithm for Realization of Type-II Discrete Sine Transform
Radix-3 Algorithm for Realization of Type-II Discrete Sine Transform
 
Radix-3 Algorithm for Realization of Type-II Discrete Sine Transform
Radix-3 Algorithm for Realization of Type-II Discrete Sine TransformRadix-3 Algorithm for Realization of Type-II Discrete Sine Transform
Radix-3 Algorithm for Realization of Type-II Discrete Sine Transform
 
New Classes of Odd Graceful Graphs - M. E. Abdel-Aal
New Classes of Odd Graceful Graphs - M. E. Abdel-AalNew Classes of Odd Graceful Graphs - M. E. Abdel-Aal
New Classes of Odd Graceful Graphs - M. E. Abdel-Aal
 
On the 1-2-3-edge weighting and Vertex coloring of complete graph
On the 1-2-3-edge weighting and Vertex coloring of complete graphOn the 1-2-3-edge weighting and Vertex coloring of complete graph
On the 1-2-3-edge weighting and Vertex coloring of complete graph
 
E-Cordial Labeling of Some Mirror Graphs
E-Cordial Labeling of Some Mirror GraphsE-Cordial Labeling of Some Mirror Graphs
E-Cordial Labeling of Some Mirror Graphs
 
Merrk
MerrkMerrk
Merrk
 
Cordial Labelings in the Context of Triplication
Cordial Labelings in the Context of  TriplicationCordial Labelings in the Context of  Triplication
Cordial Labelings in the Context of Triplication
 
FURTHER RESULTS ON ODD HARMONIOUS GRAPHS
FURTHER RESULTS ON ODD HARMONIOUS GRAPHSFURTHER RESULTS ON ODD HARMONIOUS GRAPHS
FURTHER RESULTS ON ODD HARMONIOUS GRAPHS
 
FURTHER RESULTS ON ODD HARMONIOUS GRAPHS
FURTHER RESULTS ON ODD HARMONIOUS GRAPHSFURTHER RESULTS ON ODD HARMONIOUS GRAPHS
FURTHER RESULTS ON ODD HARMONIOUS GRAPHS
 
Go3112581266
Go3112581266Go3112581266
Go3112581266
 
X4102188192
X4102188192X4102188192
X4102188192
 
Magicness in Extended Duplicate Graphs
Magicness  in Extended Duplicate GraphsMagicness  in Extended Duplicate Graphs
Magicness in Extended Duplicate Graphs
 
Generation of Pythagorean triangle with Area/ Perimeter as a Wagstaff prime n...
Generation of Pythagorean triangle with Area/ Perimeter as a Wagstaff prime n...Generation of Pythagorean triangle with Area/ Perimeter as a Wagstaff prime n...
Generation of Pythagorean triangle with Area/ Perimeter as a Wagstaff prime n...
 

More from ijeei-iaes

An Heterogeneous Population-Based Genetic Algorithm for Data Clustering
An Heterogeneous Population-Based Genetic Algorithm for Data ClusteringAn Heterogeneous Population-Based Genetic Algorithm for Data Clustering
An Heterogeneous Population-Based Genetic Algorithm for Data Clustering
ijeei-iaes
 
Development of a Wireless Sensors Network for Greenhouse Monitoring and Control
Development of a Wireless Sensors Network for Greenhouse Monitoring and ControlDevelopment of a Wireless Sensors Network for Greenhouse Monitoring and Control
Development of a Wireless Sensors Network for Greenhouse Monitoring and Control
ijeei-iaes
 
Analysis of Genetic Algorithm for Effective power Delivery and with Best Upsurge
Analysis of Genetic Algorithm for Effective power Delivery and with Best UpsurgeAnalysis of Genetic Algorithm for Effective power Delivery and with Best Upsurge
Analysis of Genetic Algorithm for Effective power Delivery and with Best Upsurge
ijeei-iaes
 
Design for Postplacement Mousing based on GSM in Long-Distance
Design for Postplacement Mousing based on GSM in Long-DistanceDesign for Postplacement Mousing based on GSM in Long-Distance
Design for Postplacement Mousing based on GSM in Long-Distance
ijeei-iaes
 
Investigation of TTMC-SVPWM Strategies for Diode Clamped and Cascaded H-bridg...
Investigation of TTMC-SVPWM Strategies for Diode Clamped and Cascaded H-bridg...Investigation of TTMC-SVPWM Strategies for Diode Clamped and Cascaded H-bridg...
Investigation of TTMC-SVPWM Strategies for Diode Clamped and Cascaded H-bridg...
ijeei-iaes
 
Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...
Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...
Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...
ijeei-iaes
 
Mitigation of Power Quality Problems Using Custom Power Devices: A Review
Mitigation of Power Quality Problems Using Custom Power Devices: A ReviewMitigation of Power Quality Problems Using Custom Power Devices: A Review
Mitigation of Power Quality Problems Using Custom Power Devices: A Review
ijeei-iaes
 
Comparison of Dynamic Stability Response of A SMIB with PI and Fuzzy Controll...
Comparison of Dynamic Stability Response of A SMIB with PI and Fuzzy Controll...Comparison of Dynamic Stability Response of A SMIB with PI and Fuzzy Controll...
Comparison of Dynamic Stability Response of A SMIB with PI and Fuzzy Controll...
ijeei-iaes
 
Embellished Particle Swarm Optimization Algorithm for Solving Reactive Power ...
Embellished Particle Swarm Optimization Algorithm for Solving Reactive Power ...Embellished Particle Swarm Optimization Algorithm for Solving Reactive Power ...
Embellished Particle Swarm Optimization Algorithm for Solving Reactive Power ...
ijeei-iaes
 
Intelligent Management on the Home Consumers with Zero Energy Consumption
Intelligent Management on the Home Consumers with Zero Energy ConsumptionIntelligent Management on the Home Consumers with Zero Energy Consumption
Intelligent Management on the Home Consumers with Zero Energy Consumption
ijeei-iaes
 
Analysing Transportation Data with Open Source Big Data Analytic Tools
Analysing Transportation Data with Open Source Big Data Analytic ToolsAnalysing Transportation Data with Open Source Big Data Analytic Tools
Analysing Transportation Data with Open Source Big Data Analytic Tools
ijeei-iaes
 
A Pattern Classification Based approach for Blur Classification
A Pattern Classification Based approach for Blur ClassificationA Pattern Classification Based approach for Blur Classification
A Pattern Classification Based approach for Blur Classification
ijeei-iaes
 
A Lyapunov Based Approach to Enchance Wind Turbine Stability
A Lyapunov Based Approach to Enchance Wind Turbine StabilityA Lyapunov Based Approach to Enchance Wind Turbine Stability
A Lyapunov Based Approach to Enchance Wind Turbine Stability
ijeei-iaes
 
Fuzzy Control of a Large Crane Structure
Fuzzy Control of a Large Crane StructureFuzzy Control of a Large Crane Structure
Fuzzy Control of a Large Crane Structure
ijeei-iaes
 
Site Diversity Technique Application on Rain Attenuation for Lagos
Site Diversity Technique Application on Rain Attenuation for LagosSite Diversity Technique Application on Rain Attenuation for Lagos
Site Diversity Technique Application on Rain Attenuation for Lagos
ijeei-iaes
 
Impact of Next Generation Cognitive Radio Network on the Wireless Green Eco s...
Impact of Next Generation Cognitive Radio Network on the Wireless Green Eco s...Impact of Next Generation Cognitive Radio Network on the Wireless Green Eco s...
Impact of Next Generation Cognitive Radio Network on the Wireless Green Eco s...
ijeei-iaes
 
Music Recommendation System with User-based and Item-based Collaborative Filt...
Music Recommendation System with User-based and Item-based Collaborative Filt...Music Recommendation System with User-based and Item-based Collaborative Filt...
Music Recommendation System with User-based and Item-based Collaborative Filt...
ijeei-iaes
 
A Real-Time Implementation of Moving Object Action Recognition System Based o...
A Real-Time Implementation of Moving Object Action Recognition System Based o...A Real-Time Implementation of Moving Object Action Recognition System Based o...
A Real-Time Implementation of Moving Object Action Recognition System Based o...
ijeei-iaes
 
Wireless Sensor Network for Radiation Detection
Wireless Sensor Network for Radiation DetectionWireless Sensor Network for Radiation Detection
Wireless Sensor Network for Radiation Detection
ijeei-iaes
 
Charge Sharing Suppression in Single Photon Processing Pixel Array
Charge Sharing Suppression in Single Photon Processing Pixel ArrayCharge Sharing Suppression in Single Photon Processing Pixel Array
Charge Sharing Suppression in Single Photon Processing Pixel Array
ijeei-iaes
 

More from ijeei-iaes (20)

An Heterogeneous Population-Based Genetic Algorithm for Data Clustering
An Heterogeneous Population-Based Genetic Algorithm for Data ClusteringAn Heterogeneous Population-Based Genetic Algorithm for Data Clustering
An Heterogeneous Population-Based Genetic Algorithm for Data Clustering
 
Development of a Wireless Sensors Network for Greenhouse Monitoring and Control
Development of a Wireless Sensors Network for Greenhouse Monitoring and ControlDevelopment of a Wireless Sensors Network for Greenhouse Monitoring and Control
Development of a Wireless Sensors Network for Greenhouse Monitoring and Control
 
Analysis of Genetic Algorithm for Effective power Delivery and with Best Upsurge
Analysis of Genetic Algorithm for Effective power Delivery and with Best UpsurgeAnalysis of Genetic Algorithm for Effective power Delivery and with Best Upsurge
Analysis of Genetic Algorithm for Effective power Delivery and with Best Upsurge
 
Design for Postplacement Mousing based on GSM in Long-Distance
Design for Postplacement Mousing based on GSM in Long-DistanceDesign for Postplacement Mousing based on GSM in Long-Distance
Design for Postplacement Mousing based on GSM in Long-Distance
 
Investigation of TTMC-SVPWM Strategies for Diode Clamped and Cascaded H-bridg...
Investigation of TTMC-SVPWM Strategies for Diode Clamped and Cascaded H-bridg...Investigation of TTMC-SVPWM Strategies for Diode Clamped and Cascaded H-bridg...
Investigation of TTMC-SVPWM Strategies for Diode Clamped and Cascaded H-bridg...
 
Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...
Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...
Optimal Power Flow with Reactive Power Compensation for Cost And Loss Minimiz...
 
Mitigation of Power Quality Problems Using Custom Power Devices: A Review
Mitigation of Power Quality Problems Using Custom Power Devices: A ReviewMitigation of Power Quality Problems Using Custom Power Devices: A Review
Mitigation of Power Quality Problems Using Custom Power Devices: A Review
 
Comparison of Dynamic Stability Response of A SMIB with PI and Fuzzy Controll...
Comparison of Dynamic Stability Response of A SMIB with PI and Fuzzy Controll...Comparison of Dynamic Stability Response of A SMIB with PI and Fuzzy Controll...
Comparison of Dynamic Stability Response of A SMIB with PI and Fuzzy Controll...
 
Embellished Particle Swarm Optimization Algorithm for Solving Reactive Power ...
Embellished Particle Swarm Optimization Algorithm for Solving Reactive Power ...Embellished Particle Swarm Optimization Algorithm for Solving Reactive Power ...
Embellished Particle Swarm Optimization Algorithm for Solving Reactive Power ...
 
Intelligent Management on the Home Consumers with Zero Energy Consumption
Intelligent Management on the Home Consumers with Zero Energy ConsumptionIntelligent Management on the Home Consumers with Zero Energy Consumption
Intelligent Management on the Home Consumers with Zero Energy Consumption
 
Analysing Transportation Data with Open Source Big Data Analytic Tools
Analysing Transportation Data with Open Source Big Data Analytic ToolsAnalysing Transportation Data with Open Source Big Data Analytic Tools
Analysing Transportation Data with Open Source Big Data Analytic Tools
 
A Pattern Classification Based approach for Blur Classification
A Pattern Classification Based approach for Blur ClassificationA Pattern Classification Based approach for Blur Classification
A Pattern Classification Based approach for Blur Classification
 
A Lyapunov Based Approach to Enchance Wind Turbine Stability
A Lyapunov Based Approach to Enchance Wind Turbine StabilityA Lyapunov Based Approach to Enchance Wind Turbine Stability
A Lyapunov Based Approach to Enchance Wind Turbine Stability
 
Fuzzy Control of a Large Crane Structure
Fuzzy Control of a Large Crane StructureFuzzy Control of a Large Crane Structure
Fuzzy Control of a Large Crane Structure
 
Site Diversity Technique Application on Rain Attenuation for Lagos
Site Diversity Technique Application on Rain Attenuation for LagosSite Diversity Technique Application on Rain Attenuation for Lagos
Site Diversity Technique Application on Rain Attenuation for Lagos
 
Impact of Next Generation Cognitive Radio Network on the Wireless Green Eco s...
Impact of Next Generation Cognitive Radio Network on the Wireless Green Eco s...Impact of Next Generation Cognitive Radio Network on the Wireless Green Eco s...
Impact of Next Generation Cognitive Radio Network on the Wireless Green Eco s...
 
Music Recommendation System with User-based and Item-based Collaborative Filt...
Music Recommendation System with User-based and Item-based Collaborative Filt...Music Recommendation System with User-based and Item-based Collaborative Filt...
Music Recommendation System with User-based and Item-based Collaborative Filt...
 
A Real-Time Implementation of Moving Object Action Recognition System Based o...
A Real-Time Implementation of Moving Object Action Recognition System Based o...A Real-Time Implementation of Moving Object Action Recognition System Based o...
A Real-Time Implementation of Moving Object Action Recognition System Based o...
 
Wireless Sensor Network for Radiation Detection
Wireless Sensor Network for Radiation DetectionWireless Sensor Network for Radiation Detection
Wireless Sensor Network for Radiation Detection
 
Charge Sharing Suppression in Single Photon Processing Pixel Array
Charge Sharing Suppression in Single Photon Processing Pixel ArrayCharge Sharing Suppression in Single Photon Processing Pixel Array
Charge Sharing Suppression in Single Photon Processing Pixel Array
 

Recently uploaded

Architectural Portfolio Sean Lockwood
Architectural Portfolio Sean LockwoodArchitectural Portfolio Sean Lockwood
Architectural Portfolio Sean Lockwood
seandesed
 
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
fxintegritypublishin
 
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
ydteq
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
Massimo Talia
 
Gen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdfGen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdf
gdsczhcet
 
MCQ Soil mechanics questions (Soil shear strength).pdf
MCQ Soil mechanics questions (Soil shear strength).pdfMCQ Soil mechanics questions (Soil shear strength).pdf
MCQ Soil mechanics questions (Soil shear strength).pdf
Osamah Alsalih
 
Runway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptxRunway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptx
SupreethSP4
 
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdfTop 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Teleport Manpower Consultant
 
CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Elective
karthi keyan
 
ML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptxML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptx
Vijay Dialani, PhD
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generation
Robbie Edward Sayers
 
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Dr.Costas Sachpazis
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
R&R Consult
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
Kamal Acharya
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation & Control
 
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
bakpo1
 
English lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdfEnglish lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdf
BrazilAccount1
 
block diagram and signal flow graph representation
block diagram and signal flow graph representationblock diagram and signal flow graph representation
block diagram and signal flow graph representation
Divya Somashekar
 
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
thanhdowork
 
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&BDesign and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Sreedhar Chowdam
 

Recently uploaded (20)

Architectural Portfolio Sean Lockwood
Architectural Portfolio Sean LockwoodArchitectural Portfolio Sean Lockwood
Architectural Portfolio Sean Lockwood
 
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
 
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
 
Gen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdfGen AI Study Jams _ For the GDSC Leads in India.pdf
Gen AI Study Jams _ For the GDSC Leads in India.pdf
 
MCQ Soil mechanics questions (Soil shear strength).pdf
MCQ Soil mechanics questions (Soil shear strength).pdfMCQ Soil mechanics questions (Soil shear strength).pdf
MCQ Soil mechanics questions (Soil shear strength).pdf
 
Runway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptxRunway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptx
 
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdfTop 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
 
CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Elective
 
ML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptxML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptx
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generation
 
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
 
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
 
English lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdfEnglish lab ppt no titlespecENG PPTt.pdf
English lab ppt no titlespecENG PPTt.pdf
 
block diagram and signal flow graph representation
block diagram and signal flow graph representationblock diagram and signal flow graph representation
block diagram and signal flow graph representation
 
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
 
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&BDesign and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
Design and Analysis of Algorithms-DP,Backtracking,Graphs,B&B
 

Computing Some Degree-Based Topological Indices of Graphene

  • 1. Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol. 5, No. 2, June 2017, pp. 155~161 ISSN: 2089-3272, DOI: 10.11591/ijeei.v5i2.258  155 Received Oct 20, 2016; Revised April 21, 2017; Accepted May 12, 2017 Computing Some Degree-Based Topological Indices of Graphene Vijayalaxmi Shigehalli, Rachanna Kanabur* Deparment of Mathematics Rani Channamma University, Belagavi-591156 Karnataka, India e-mail: rachukanabur@gmail.com Abstract Graphene is one of the most promising nanomaterial because of its unique combination of superb properties, which opens a way for its exploitation in a wide spectrum of applications ranging from electronics to optics, sensors, and bio devices. Inspired by recent work on Graphene of computing topological indices, here we compute new topological indices viz. Arithmetic-Geometric index (AG2 index), SK3 index and Sanskruti index of a molecular graph G and obtain the explicit formulae of these indices for Graphene. Keywords: Arithmetic-Geometric index (AG2 index), SK3 index, sanskruti index, graphene. 1. Introduction A molecular graph is a representation of a chemical compound having atoms as vertices and the bonds between atoms correspond to the edge of the graph. The collection of vertices of a graph, says G, is denoted by V (G) and the set of edges is denoted by E (G). The degree of a vertex v of a graph is the number of vertices of G adjacent to v, denoted by dG (v) or simply as dv [3]. Molecular graphs are a special type of chemical graphs, which represent the constitution of molecules. They are also called constitutional graphs. When the constitutional graph of a molecule is represented in a two-dimentional basis it is called structural graphs [7, 8]. Topological invariant of a graph is a single number descriptor which is correlated to certain chemical, thermodynamical and biological behavior of the chemical compounds. Several topological indices have been defined over past decades which depend on degree of vertices. 2. Computing the Topological Indices of Graphene. Graphene is an atomic scale honeycomb lattice made of carbon atoms. Graphene is 200 times stronger than steel, one million times thinner than a human hair, and world’s most conductive material. So it has captured the attention of scientists, researchers, and industries worldwide. It is one of the most promising nanomaterials because of its unique combination of superb properties, which opens a way for its exploitation in a wide spectrum of applications ranging from electronics to optics, sensors, and biodevices. Also it is the most effective material for electromagnetic interference (EMI) shielding. Now we focus on computation of topological indices of Graphene [1, 4]. Motivated by previous research on Graphene [4,6,11-14], here we compute three new topological indices viz. Arithmetic-Geometric index (AG2 index), SK3 index and Sanskruti index of a molecular graph G and obtain the explicit formulae of these indices for Graphene. 2.1. Arithmetic-Geometric (AG2) Index Let G = (V, E) be a molecular graph, and SG(u) is the degree of the vertex u, then AG2 index of G is defined as AG2 (G) =        , ( ) 2 . G G u v E G G G S u S v S u S v  
  • 2.  ISSN: 2089-3272 IJEEI Vol. 5, No. 2, June 2017 : 155 – 161 156 where, AG2 index is considered for distinct vertices. The above equation is the sum of the ratio of the Arithmetic mean and Geometric mean of u and v, where SG (u) (or SG (v)) is the summation of degrees of all neighbours of vertex u (or v) in G. SG (u) =   , ( ) G u v E G d u   and NG (u) = {vV (G)/uvE (G)} 2.2. SK3 Index The SK3 index of a graph G = (V, E) is defined as SK3 (G) =     , ( ) 2 G G u v E G S u S v    where SG (u) (or SG (v)) is the summation of degrees of all neighbours of vertex u (or v) in G. SG (u) =   , ( ) G u v E G d u   and NG (u) = {vV (G)/uvE (G)} 2.3. Sanskruti Index Recently, Hosamani [9], studied a novel topological index, namely the Sanskruti index S (G) of a molecular graph G, which is denoted as S (G) =         3 ( ) . 2 G G uv E G G G S u S v S u S v         where SG (u) (or SG (v)) is the summation of degrees of all neighbours of vertex u (or v) in G. SG (u) =   , ( ) G u v E G d u   and NG (u) = {vV (G)/uvE (G)} 3. Main Results 3.1. The AG2 index of Graphene is AG2 (G) = 6.0588 2.0277 3 1.0032 1 5.0119 1.0578 1 6 1, 1 t s ts if t s if t if t s           Let ei, j denote the number of edges with i=Su and j=Sv. It is easy to see that the summation of degrees of edge endpoints of Graphene has nine edge types e4,5, e5,5, e5,7, e5,8, e6,7, e7,9, e8,8, e8,9 and e9,9 that are enumerated Table 1. For convenience these edge type are colored by grey, yellow, red, purple, blue, green, light blue, brown, and black, respectively, as shown in Figure 1.
  • 3. IJEEI ISSN: 2089-3272  Computing Some Degree-Based Topological Indices… (Rachanna R Kanabur) 157 Figure 1. Colors of Graphene Edge (1) Figure 2. Colors of Graphene Edge (2) Case 1. The AG2 index of Graphene for t ≠1 is AG2 (G) =        , ( ) 2 . G G u v E G G G S u S v S u S v   Table 1. Nine edge types of Graphene Rows e4,5 e5,5 e5,7 e5,8 e6,7 e7,9 e8,8 e8,9 e9,9 1 2 3 4 . . . t-2 t-1 t Total 2 0 0 0 . . . 0 0 2 4 1 1 1 1 . . . 1 1 1 t 3 1 0 0 . . . 0 1 3 8 1 1 2 2 . . . 2 1 1 2t-4 2s-4 0 0 0 . . . 0 0 2s-4 4s-8 s 0 0 0 . . . 0 0 s 2s 0 1 1 1 . . . 1 1 0 t-2 1 2 2 2 . . . 2 1 0 2t-4 2s-3 3s-4 3s-4 3s-4 . . . 3s-4 3s-4 0 3ts-4s- 4t+5 AG2 (G) =  4,5e 4 5 2 20       +  5,5e 5 5 2 25       +  5,7e 5 7 2 35       + 5,8e 5 8 2 40       + 6,7e 6 7 2 42        7,9e 7 9 2 63       +  8,8e 8 8 2 64       + 9,8e 9 8 2 72       + 9,9e 9 9 2 81       =  4 9 2 20       +  t 10 2 25       +  8 12 2 35       + 2 4t  13 2 40       + 4 8s  13 2 42      
  • 4.  ISSN: 2089-3272 IJEEI Vol. 5, No. 2, June 2017 : 155 – 161 158 +  2s 16 2 63       + 2t  16 2 64       + 2 4t  17 2 72       + 3 4 4 5ts s t   18 2 81       13 17 26 16 5 1 4 4 3 40 72 42 63 18 48 26 52 34 2 5 20 35 40 42 72 t s ts                                 = 6.0588t + 2.0277s + 3ts - 1.0032 Case 2. For t=1 and s>1, Graphene has five types of edges, namely e4,4, e4,5, e5,7, e6,7, and e7,7. These edges are colored in orange, pink, red, blue, and lavender, respectively, as shown in Figure 2. The number of edges of these types is shown in Table 2 Table 2. The Number of Edges Number of benzene rings(s) e4, 4 e4, 5 e5, 7 e6, 7 e7, 7 2 3 4 5 . . s-1 s 2 2 2 2 . . 2 2 4 4 4 4 . . 4 4 4 4 4 4 . . 4 4 0 4 8 12 . . 4s-12 4s-8 1 2 3 4 . . s-2 s-1 AG2 (G) =  4,4e 4 4 2 16       +  4,5e 4 5 2 20       +  5,7e 5 7 2 35       + 6,7e 6 7 2 42       +  7,7e 7 7 2 49       =  2 8 2 16       + 4 9 2 20       +  4 12 2 35       + 4 8s  13 2 40       + 1s  14 2 49       18 24 52 26 2 1 1 20 35 42 42 t s                  = 5.0119s + 1.0578 Case 3. For t=1 and s=1, we have only 6 edges of the type e4,4 as shown in Figure 3. Figure 3. Type e4,4 with 6 Edges
  • 5. IJEEI ISSN: 2089-3272  Computing Some Degree-Based Topological Indices… (Rachanna R Kanabur) 159 AG2 (G) =  4,4e 4 4 6 2 16       3.2. The SK3 index of Graphene is SK3 (G) = 7 6 27 17 1 33 9 1 24 1, 1 t s ts if t s if t if t s           Proof: Let ei,j denote the number of edges with i=Su and j=Sv. It is easy to see that the summation of degrees of edge endpoints of Graphene has nine edge types e4,5, e5,5, e5,7, e5,8, e6,7, e7,9, e8,8, e8,9 and e9,9 that are enumerated Table1. For convenience these edge type are colored by grey, yellow, red, purple, blue, green, light blue, brown, and black, respectively, as shown in Figure1. Case 1. The SK3 index of Graphene for t ≠1 is SK3 (G) =     , ( ) 2 G G u v E G S u S v    SK3(G) =  4,5e 4 5 2       + 5,5e 5 5 2       +  5,7e 5 7 2       +  5,8e 5 8 2       + 6,7e 6 7 2       +  7,9e 7 9 2       +  8,8e 8 8 2       +  9,8e 9 8 2       + 9,9e 9 9 2       =  4 9 2       +  t 10 2       +  8 12 2       + 2 4t  13 2       + 4 8s  13 2       + 2s 16 2       +  2t  16 2       + 2 4t  17 2       + 3 4 4 5ts s t   18 2            5 13 8 17 36 26 16 36 27 18 48 26 52 16 34 45t s ts                = 7t + 6s + 27ts – 17 Case 2. For t=1 and s>1, Graphene has five types of edges, namely e4,4, e4,5, e5,7, e6,7, and e7,7. These edges are colored in orange, pink, red, blue, and lavender, respectively, as shown in Figure 2. The number of edges of these types is shown in Table 2. SK3 (G) =  4,4e 4 4 2       + 4,5e 4 5 2       +  5,7e 5 7 2       + 6,7e 6 7 2       + 7,7e 7 7 2       =  2 8 2       + 4 9 2       +  4 12 2       + 4 8s  13 2       + 1s  14 2          8 18 24 52 7 26 7t s       = 33s – 9
  • 6.  ISSN: 2089-3272 IJEEI Vol. 5, No. 2, June 2017 : 155 – 161 160 Case 3. For t=1 and s=1, we have only 6 edges of the type e4, 4 as shown in Figure 3. SK3 (G) =  4,4e 4 4 24 2       3.3. The Sanskruti index of Graphene is S (G) = 389.22 75.58 114.06 186.08 1 290.72 210.68 1, 1 113.76 1, 1 ts t s if t s if t s if t s            Proof: Let ei, j denote the number of edges with i=Su and j=Sv. It is easy to see that the summation of degrees of edge endpoints of Graphene has nine edge types e4,5, e5,5, e5,7, e5,8, e6,7, e7,9, e8,8, e8,9 and e9,9 that are enumerated Table 1. For convenience these edge type are colored by grey, yellow, red, purple, blue, green, light blue, brown, and black, respectively, as shown in Figure 1. Case 1. The Sanskruti index of Graphene for t ≠1 is S (G) =         3 ( ) . 2 G G uv E G G G S u S v S u S v         S (G) =  4,5e 3 4 5 4 5 2       + 5,5e 3 5 5 5 5 2       +  5,7e 3 5 7 5 7 2       + 5,8e 3 5 8 5 8 2       +  6,7e 3 6 7 6 7 2       +  7,9e 3 7 9 7 9 2       + 8,8e 3 8 8 8 8 2       + 9,8e 3 9 8 9 8 2       +  9,9e 3 9 9 9 9 2       =  4 3 20 7       +  t 3 25 8       +  8 3 35 10       +  2 4t  3 40 11       + 4 8s  3 42 11       +  2s 3 63 14       +  2t  3 64 14       +  2 4t  3 72 15       + 3 4 4 5ts s t   3 81 16       3 3 3 3 3 3 3 3 3 3 3 3 3 3 25 40 64 72 81 42 63 81 81 2 2 4 4 2 4 3 8 11 14 15 16 11 14 16 16 20 35 40 42 64 4 8 4 8 2 4 7 10 11 11 14 t s ts                                                                                                             3 3 72 81 5 15 16                = 389.22t s – 75.58t – 114.06s – 186.08 Case 2. For t=1 and s>1, Graphene has five types of edges, namely e4,4, e4,5, e5,7, e6,7, and e7,7. These edges are colored in orange, pink, red, blue, and lavender, respectively, as shown in Figure 2. The number of edges of these types is shown in Table 2.
  • 7. IJEEI ISSN: 2089-3272  Computing Some Degree-Based Topological Indices… (Rachanna R Kanabur) 161 S (G) =  4,4e 3 4 4 4 4 2       +  4,5e 3 4 5 4 5 2       + 5,7e 3 5 7 5 7 2       +  6,7e 3 6 7 6 7 2       +  7,7e 3 7 7 7 7 2       =  2 3 16 6       +  4 3 20 7       +  4 3 35 10       + 4 8s  3 42 11       + 1s  3 49 12       3 3 3 3 3 3 3 42 49 16 20 35 42 49 4 2 4 4 8 1 11 12 6 7 10 11 12 s                                                            = 290.72s – 210.68 Case 3. For t=1 and s=1, we have only 6 edges of the type e4, 4 as shown in Figure 3 S (G) =  4,4e 3 4 4 113.76 4 4 2       4. Conclusion In this paper we have computed the Arithmetic-Geometric (AG2) index, SK3 index and Sanskruti index S (G) of Graphene is obtained without using computer. References [1] A Madanshekaf, M Moradi. The first geometric-arithmetic index of some nanostar dendrimers. Iran. J. Math. chem. 2014; 5: 1-6. [2] D Vukicevic, B Furtula. Topological index based on the ratios of geometrical and arithmetical mean of end-vertex degrees of edges. J. Math. Chem. 2009; 26: 1369-1376. [3] F Harary. Graph theory. Addison-Wesely. Reading mass. 1969. [4] G Sridhar, MR Rajesh Kanna, RS Indumathi. Computation of Topological Indices of Graphene. Hindawi Publishing Corporation Journal of Nanomaterials. 2015; 1-8. [5] Gutman. Degree-based topological indices. Croat. Chem. Acta. 2013; 86: 251-361. [6] K Lavanya Lakshmi. A highly correlated topological index for polyacenes. Journal of Experimental Sciences. 2012; 3(4): 18-21. [7] MV Diudea, I Gutman, J Lorentz. Molecular Topology. Romania: Babes-Bolyai University. 2001. [8] N Trinajstic. Chemical Graph theory. Boca Raton: CRC Press. 1992. [9] SM Hosamani. Computing Sanskruti index of certain nanostructures. J. Appl. Math. Comput. 2016; 1- 9. [10] SM Hosamani, I Gutman. Zagreb indices of transformation graphs and total transformation graphs. Appl.Math.Comput. 2014; 247: 1156-1160. [11] VS Shegehalli, R Kanabur. Arithmetic-Geometric indices of some class of Graph. Journal of Computer and Mathematical sciences. 2015; 6(4): 194-199. [12] VS Shegehalli, R Kanabur. New Version of Degree-Based Topological Indices of Certain nanotube. Journal of Mathematical Nano science. 2016; 6(1-2): 29-39. [13] VS Shegehalli, R Kanabur. Computing Degree-Based Topological Indices of Polyhex Nanotubes. Journal of Mathematical Nano science. 2016; 6(1-2): 59-68. [14]VS Shegehalli, R Kanabur. Computation of New Degree-Based Topological Indices of Graphene. Journal of Mathematics. 2016; 1-6.