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Journal articles on the topic 'Index structure'

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Published: 4 June 2021

Last updated: 20 February 2023

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1

Manjunath, Muddalapuram, V. Lokesha, Suvarna, and Sushmitha Jain. "Bounds for the Topological Indices of ℘ graph." European Journal of Pure and Applied Mathematics 14, no. 2 (May 18, 2021): 340–50. http://dx.doi.org/10.29020/nybg.ejpam.v14i2.3715.

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Topological indices are mathematical measure which correlates to the chemical structures of any simple finite graph. These are used for Quantitative Structure-Activity Relationship (QSAR) and Quantitative Structure-Property Relationship (QSPR). In this paper, we define operator graph namely, ℘ graph and structured properties. Also, establish the lower and upper bounds for few topological indices namely, Inverse sum indeg index, Geometric-Arithmetic index, Atom-bond connectivity index, first zagreb index and first reformulated Zagreb index of ℘-graph.

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2

Features Submission, Haworth Continuing. "III. Movement Structure Index." Behavioral & Social Sciences Librarian 10, no. 1 (January 22, 1991): 135–37. http://dx.doi.org/10.1300/j103v10n01_03.

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3

Weibin Qiu, Weibin Qiu, and Jiaxian Wang Jiaxian Wang. "Low-loss amorphous Si waveguides with gradient refractive index cladding structure." Chinese Optics Letters 10, no. 4 (2012): 041601–41602. http://dx.doi.org/10.3788/col201210.041601.

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4

Masala, Giovanni. "Dynamic dependence structure between energy markets and the Italian stock index." Investment Management and Financial Innovations 15, no. 2 (May 3, 2018): 60–67. http://dx.doi.org/10.21511/imfi.15(2).2018.06.

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The dependence structure between the main energy markets (such as crude oil, natural gas, and coal) and the main stock index plays a crucial role in the economy of a given country. As the dependence structure between these series is dramatically complex and it appears to change over time, time-varying dependence structure given by a class of dynamic copulas is taken into account.To this end, each pair of time series returns with a dynamic t-Student copula is modelled, which takes as input the time-varying correlation. The correlation evolves with the DCC(1,1) equation developed by Engle.The model is tested through a simulation by employing empirical data issued from the Italian Stock Market and the main connected energy markets. The author considers empirical distributions for each marginal series returns in order to focus on the dependence structure. The model’s parameters are estimated by maximization of the log-likelihood. Also evidence is found that the proposed model fits correctly, for each pair of series, the left tail dependence coefficient and it is then compared with a static copula dependence structure which clearly underperforms the number of joint extreme values at a given confidence level.

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5

ahdal, Waleed M. Al, and Twinkle Prusty. "Does board structure index and ownership structure index impact on top listed Indian company's performance." International Journal of Business Governance and Ethics 14, no. 4 (2020): 436. http://dx.doi.org/10.1504/ijbge.2020.110831.

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6

Zhao, Jia, and Chang Hua Li. "Research for Computing the Structure Reliability Index." Applied Mechanics and Materials 578-579 (July 2014): 1464–68. http://dx.doi.org/10.4028/www.scientific.net/amm.578-579.1464.

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The paper discusses general theoretical and practical aspects of the emerging probabilistic and non-probabilistic approaches for uncertainty treatment in finite element analysis. Based on rough set theory, a new methodology for structural reliability computation is presented. The uncertain parameters of structures are expressed by rough variables. The structure reliability index is computed by rough function and metric. It is valid, and efficient in physics and geometry. Examples of practical application are given.

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7

Zhong, Xiao Ping, Wei Liang Jin, and Wen Xue. "Life-Time Index in Whole Structural Life-Cycle." Advanced Materials Research 243-249 (May 2011): 5711–16. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.5711.

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In the analysis on whole structural life-cycle, there are two important factors to need to be considered. One is the determination of design service life of structure, and another is design of structure based on service life. After analyzing deeply the influence factors of life-time index, it can be found that the design service life of structure not only depends on technology level, functional requirement and economic cost factors of structures, but also relate with the specific environmental conditions, using conditions and maintenance conditions of structures. So that, an analysis method of determined design service life of structure is given in this paper. For design of structure on service life, from the view of whole structural life-cycle, a probability reliability-based analysis method of structural service life design and re-design is proposed in this paper. By updating constantly design parameters, the correctness of predicted service life is improved gradually.

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8

Xiang, Chang-Sheng, Ling-Yun Li, Yu Zhou, and Zi Yuan. "Damage Identification Method of Beam Structure Based on Modal Curvature Utility Information Entropy." Advances in Civil Engineering 2020 (September 19, 2020): 1–20. http://dx.doi.org/10.1155/2020/8892686.

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Generally, the damage of the structure will lead to the discontinuity of the local mode shape, which can be well reflected by the modal curvature of the structure, and the local information entropy of the beam structure will also change with the discontinuity of the mode. In this paper, based on the information entropy theory and combining the advantages of modal curvature index in damage identification of beam structure, the modal curvature utility information entropy index is proposed. The modal curvature curves of nondestructive structures were obtained by fitting the modal curvature curves of damage structures with the gapped smoothing technique to avoid dependence on the baseline data of nondestructive structures. The index comprehensively reflects the damage state of the structure by calculating mutual weight change matrix and the weight-probability coefficient. The performance of the new index was verified by the finite element simulation and model test of simply supported beam, respectively. The results show that the modal curvature utility information entropy index takes advantage of the modal curvature index which is sensitive to damage and can overcome its shortcomings effectively. The index proposed can identify the damage location and damage degree accurately and has certain noise immunity, which provides an effective damage identification indicator for beam structures.

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9

JÜRGERNS, MARCUS, and HANS-J. LENZ. "TREE BASED INDEXES VERSUS BITMAP INDEXES: A PERFORMANCE STUDY." International Journal of Cooperative Information Systems 10, no. 03 (September 2001): 355–76. http://dx.doi.org/10.1142/s0218843001000382.

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Data warehouses are used to store large amounts of data which is often used for On-Line Analytical Processing (OLAP). Short response times are essential for on-line decision support. Common approaches to reach this goal in read-mostly environments are the precomputation of materialized views and the use of index structures. This paper focuses on the use of index structures for supporting fast access to data. The performance of index structures depends on many different parameters. Here, we focus on a set of nine parameters. Two approaches are presented to support the decision making process which index structure should be applied. The first approach is based on classification trees. The second approach uses an aggregation and scatter diagram method. Both approaches are applied to four distinct index structures: a tree-based index structure without aggregated data, a tree-based index structure with aggregated data and two bitmap index structures. This paper presents results of the comparison with both approaches.

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10

Repianskyi, Nazar, and Taras Rak. "Client-Server Library Index Automation System." Advances in Cyber-Physical Systems 7, no. 2 (December 16, 2022): 147–55. http://dx.doi.org/10.23939/acps2022.02.147.

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The goal of the work is to develop a client-server software system for library index automation, which consists of the user interface, presented as a web page, back-end server layer, and database. The problem of developing a library index automation system has been considered. The developed structure of the library index automation system has been presented. The structure of the library index automation system database has been proposed. The features of designing the user interface of the library index automation system have been considered. The general algorithm of the library index automation system and the system's class diagram have been presented. To make sure that the developed system is secure and stable development testing as well as stress testing have been performed.

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11

Kwon, D. H., L. Li, J. A. Bossard, M. G. Bray, and D. H. Werner. "Zero index metamaterials with checkerboard structure." Electronics Letters 43, no. 6 (2007): 319. http://dx.doi.org/10.1049/el:20070197.

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12

Saulnier, Luc, Valérie Micard, and Guy Della Valle. "Structure du pain et index glycémique." Cahiers de Nutrition et de Diététique 49, no. 2 (April 2014): 61–66. http://dx.doi.org/10.1016/j.cnd.2014.01.004.

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13

Zhang, Jing. "Efficient video retrieval using index structure." International Journal of Imaging Systems and Technology 18, no. 2-3 (August 11, 2008): 113–23. http://dx.doi.org/10.1002/ima.20154.

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14

Prusty, Twinkle, and Waleed M. Al ahdal. "Does Board Structure Index and Ownership Structure Index Impact on top listed Indian Companys Performance." International Journal of Business Governance and Ethics 14, no. 4 (2020): 1. http://dx.doi.org/10.1504/ijbge.2020.10030682.

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15

Heo. "Estimation of Post Evaluation Index of Natural Disaster Prevention Projects using Structure Equation Modeling." Journal of the Korean Society of Civil Engineers 34, no. 6 (2014): 1807. http://dx.doi.org/10.12652/ksce.2014.34.6.1807.

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16

Cavanaugh, David, and Krishnan Chittur. "A hydrophobic proclivity index for protein alignments." F1000Research 4 (October 21, 2015): 1097. http://dx.doi.org/10.12688/f1000research.6348.1.

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Sequence alignment algorithms are fundamental to modern bioinformatics. Sequence alignments are widely used in diverse applications such as phylogenetic analysis, database searches for related sequences to aid identification of unknown protein domain structures and classification of proteins and protein domains. Additionally, alignment algorithms are integral to the location of related proteins to secure understanding of unknown protein functions, to suggest the folded structure of proteins of unknown structure from location of homologous proteins and/or by locating homologous domains of known 3D structure. For proteins, alignment algorithms depend on information about amino acid substitutions that allows for matching sequences that are similar, but not exact. When primary sequence percent identity falls below about 25%, algorithms often fail to identify proteins that may have similar 3D structure. We have created a hydrophobicity scale and a matching dynamic programming algorithm called TMATCH (unpublished report) that is able to match proteins with remote homologs with similar secondary/tertiary structure, even with very low primary sequence matches. In this paper, we describe how we arrived at the hydrophobic scale, how it provides much more information than percent identity matches and some of the implications for better alignments and understanding protein structure.

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17

Cavanaugh, David, and Krishnan Chittur. "A hydrophobic proclivity index for protein alignments." F1000Research 4 (October 15, 2020): 1097. http://dx.doi.org/10.12688/f1000research.6348.2.

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Sequence alignment algorithms are fundamental to modern bioinformatics. Sequence alignments are widely used in diverse applications such as phylogenetic analysis, database searches for related sequences to aid identification of unknown protein domain structures and classification of proteins and protein domains. Additionally, alignment algorithms are integral to the location of related proteins to secure understanding of unknown protein functions, to suggest the folded structure of proteins of unknown structure from location of homologous proteins and/or by locating homologous domains of known 3D structure. For proteins, alignment algorithms depend on information about amino acid substitutions that allows for matching sequences that are similar, but not exact. When primary sequence percent identity falls below about 25%, algorithms often fail to identify proteins that may have similar 3D structure. We have created a hydrophobicity scale and a matching dynamic programming algorithm called TMATCH (preprint report) that is able to match proteins with remote homologs with similar secondary/tertiary structure, even with very low primary sequence matches. In this paper, we describe how we arrived at the hydrophobic scale, how it provides much more information than percent identity matches and some of the implications for better alignments and understanding protein structure.

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18

Gutman, Ivan, and Boris Furtula. "Hyper-Wiener Index vs. Wiener Index. Two Highly Correlated Structure-Descriptors." Monatshefte für Chemie - Chemical Monthly 134, no. 7 (June 2003): 975–81. http://dx.doi.org/10.1007/s00706-003-0003-7.

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19

Ramane, Harishchandra S., and Raju B. Jummannaver. "Note on forgotten topological index of chemical structure in drugs." Applied Mathematics and Nonlinear Sciences 1, no. 2 (September 13, 2016): 369–74. http://dx.doi.org/10.21042/amns.2016.2.00032.

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AbstractThe forgotten topological index of a graph G is defined as the sum of the cube of the degrees of its vertices. In the recent paper [6], [W. Gao et al. (2016), Forgotten topological index of chemical structure in drugs, Saudi Pharmaceutical Journal, 24, 258-264], the forgotten topological index of some chemical structures has been obtained. In this note, we correct their result regarding triangular benzenoid. Also, we have given the expression for the forgotten topological index of graphene structure which is more compact than the one was obtained in the paper above.

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20

Xie, Jiarong, Mingwei Du, Zengru Di, Huaiwei Zhu, Ying Fan, and Yanqing Hu. "Measuring intrinsic significance of community structure." International Journal of Modern Physics C 30, no. 09 (September 2019): 1950068. http://dx.doi.org/10.1142/s0129183119500682.

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The significance of communities is an important inherent property of the community structure. It measures the degree of reliability of the community structure identified by the algorithm. Real networks obtained from complex systems always contain error links. Moreover, most of the community detecting algorithms usually involve random factors. Thus evaluating the significance of community structure is very important. In this paper, using the matrix perturbation theory, we propose a normalized index to efficiently evaluate the significance of community structure without detecting communities. Furthermore, we find that the peaks of this index can be used to determine the optimal number of communities and identify hierarchical community structure, which are two challenging problems in many community detecting algorithms. Lastly, the index is applied to 16 typical real networks, and we find that significant community structures exist in many social networks and in the C. elegans neural network. Comparatively insignificant community structures are identified in protein-interaction networks and metabolic networks. Our method can be generalized to broad clustering problems in data mining.

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21

BENDER, E. A., P. J. CAMERON, A. M. ODLYZKO, and L. B. RICHMOND. "Connectedness, Classes and Cycle Index." Combinatorics, Probability and Computing 8, no. 1-2 (January 1999): 31–43. http://dx.doi.org/10.1017/s0963548398003423.

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This paper begins with the observation that half of all graphs containing no induced path of length 3 are disconnected. We generalize this in several directions. First, we give necessary and sufficient conditions (in terms of generating functions) for the probability of connectedness in a suitable class of graphs to tend to a limit strictly between zero and one. Next we give a general framework in which this and related questions can be posed, involving operations on classes of finite structures. Finally, we discuss briefly an algebra associated with such a class of structures, and give a conjecture about its structure.

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22

Imran, Shahid, Muhammad Mudassar Raza, Niat Nigar, Syed Ajaz K. Kirmani, and Fikre Bogale Petros. "Computing Topological Indices and Polynomials of the Rhenium Trioxide." Journal of Mathematics 2022 (August 10, 2022): 1–12. http://dx.doi.org/10.1155/2022/4838327.

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In the study of mathematical chemistry and chemical graph theory, a topological index, also known as a connectivity index, is the arithmetical framework of a graph that specifies its topology and also graph invariant. These topological indices are used to model quantitative structure relationships Q S A R s , which are connections between the work of biological or other molecular structures and the chemical structures. This study computed the first, second, and Hyper Zagreb indices, as well as Zagreb polynomials, Redefined Zagreb indices, Randic index, A B C index, and G A index of chemical structure of Rhenium Trioxide.

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23

KengHsin Lo, YenChang Chen, and Yi Wei Chuang. "Financial Crisis and Financial Index Structure Break." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 5, no. 1 (January 15, 2013): 516–21. http://dx.doi.org/10.4156/aiss.vol5.issue1.64.

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24

Jin, Du-Seok, Jin-Suk Kim, Beom-Jong You, and Hoe-Kyung Jung. "Efficient Dynamic Index Structure for SSD (SPM)." Journal of the Korea Contents Association 10, no. 2 (February 28, 2010): 54–62. http://dx.doi.org/10.5392/jkca.2010.10.2.054.

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25

Bräunling, Oliver, Michael Groechenig, and Jesse Wolfson. "The A∞-structure of the index map." Annals of K-Theory 3, no. 4 (December 18, 2018): 581–614. http://dx.doi.org/10.2140/akt.2018.3.581.

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26

Bang, Kap S., and Huizhu Lu. "An Efficient Index Structure for Spatial Databases." Journal of Database Management 7, no. 3 (July 1996): 3–16. http://dx.doi.org/10.4018/jdm.1996070101.

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27

Kurbalija, Dragan. "The structure of the Emotions Profile Index." Psihologija 39, no. 3 (2006): 343–59. http://dx.doi.org/10.2298/psi0603343k.

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In order to evaluate the factor structure of the Emotions Profile Index (EPI) 217 first-year students accommodated in the school?s dormitory were examined. The data was analyzed with Beelzebub algorithm for comparative confirmative and exploratory component analysis. The results show that the empirical structure of EPI can be related with 4 bipolar factor structure proposed in the scoring key, although the relation is far from indubitable. The structure of hypothetical dimension Distrustful vs. Trustful has a solid empirical foundation, correlations between orthoblique and hypothetical factors of theoretical dimensions Gregarious vs. Depressed and Timid vs. Aggressive are acceptable while, on the other hand, the structure of the hypothetical dimension Controlled vs. Dyscontrolled requires revising, not only because the Adventurous trait is used to describe both of their poles but for numerous other reasons. The paper suggests a few ways of improving the characteristics of the test.

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28

Ramli, Azlinda, Alyani Ismail, Raja Syamsul Azmir Raja Abdullah, Mohd Adzir Mahdi, and Adam Reda Hasan Al-Hawari. "MINIATURIZE NEGATIVE INDEX METAMATERIAL STRUCTURE LOADED FILTENNA." Progress In Electromagnetics Research M 72 (2018): 97–104. http://dx.doi.org/10.2528/pierm18052802.

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29

Afraimovich, L. G. "Three-Index linear programs with nested structure." Automation and Remote Control 72, no. 8 (August 2011): 1679–89. http://dx.doi.org/10.1134/s0005117911080066.

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30

Afraimovich, L. G. "Multi-index transport problems with decomposition structure." Automation and Remote Control 73, no. 1 (January 2012): 118–33. http://dx.doi.org/10.1134/s0005117912010092.

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31

FLEITES, FAUSTO C., SHU-CHING CHEN, and KASTURI CHATTERJEE. "A SEMANTIC INDEX STRUCTURE FOR MULTIMEDIA RETRIEVAL." International Journal of Semantic Computing 06, no. 02 (June 2012): 155–78. http://dx.doi.org/10.1142/s1793351x12400065.

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To be effective multimedia retrieval mechanisms, index methods must provide not only efficient access but also meaningful retrieval by addressing challenges in multimedia retrieval. This article presents the AH+-tree, a height-balanced, tree-based index structure that efficiently incorporates high-level affinity information to support Content-Based Image Retrieval (CBIR) through similarity queries. The incorporation of affinity information allows the AH+-tree to address the problems of semantic gap and user perception subjectivity inherent to multimedia retrieval. Based on the Affinity-Hybrid Tree (AH-Tree), the AH+-tree utilizes affinity information in a novel way to eliminate the I/O overhead of the AH-Tree while maintaining the same functionality and quality of results. We explain the structure of the AH+-tree and implement and analyze algorithms for tree construction and similarity queries (range and nearest neighbor). Experimental results demonstrate the superior I/O efficiency of the AH+-tree over that of the AH-Tree and the M-tree without a detrimental impact on real-time costs of the retrieval process.

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32

Min, Meeyoung O., June-Yung Kim, Tugba Olgac, Meredith W. Francis, En-Jung Shon, and Dalhee Yoon. "Factor Structure of the Urban Hassles Index." Research on Social Work Practice 28, no. 6 (October 20, 2016): 741–50. http://dx.doi.org/10.1177/1049731516674815.

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Objective: This study examined the factor structure and psychometric properties of the Urban Hassles Index (UHI). Method: Exploratory factor analyses (EFAs) were conducted via principal axis factoring extraction method. Confirmatory factor analyses were conducted to evaluate the fit of the EFA-derived model using the weighted least squares estimator with mean and variance adjustments. Composite/scale scores were created for the extracted factors, with a total score derived by summing the scale scores. Criterion-related validity was examined using hierarchical regressions. Results: The UHI had four first-order factors ( environmental nuisance, safety concerns, drug, and coercion) accounting for 43% of the total variance. Covariance among the first-order factors was explained by a higher second-order factor. Moderate factor correlations and evidence for the criterion-related validity of the subscales and total score indicated multidimensionality of the UHI. Conclusions: The shortened 16-item UHI is a brief assessment tool evaluating stressors unique to urban adolescents, providing specific intervention targets.

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33

Kim, Jeong-Ho, Sang-Hoon Lee, Won-Tae Kim, and Yong-Han Yoon. "Characteristics regarding Ion Index by Geomorphic Structure." Korean Journal of Environment and Ecology 32, no. 5 (October 31, 2018): 486–96. http://dx.doi.org/10.13047/kjee.2018.32.5.486.

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34

Consolini, Giuseppe, Maria F. Marcucci, and Maurizio Candidi. "Multifractal Structure of Auroral Electrojet Index Data." Physical Review Letters 76, no. 21 (May 20, 1996): 4082–85. http://dx.doi.org/10.1103/physrevlett.76.4082.

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35

Osmotherly, Peter Grant, Patrick McElduff, and John R. Attia. "Factor Structure of the Neck Disability Index." Spine 36, no. 21 (October 2011): 1816. http://dx.doi.org/10.1097/brs.0b013e31822b4321.

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36

Gabel, Charles Philip, Markus Melloh, and Antonio I. Cuesta-Vargas. "Factor Structure of the Neck Disability Index." Spine 36, no. 21 (October 2011): 1815. http://dx.doi.org/10.1097/brs.0b013e31822c0521.

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37

Doweidar, H. "Refractive index–structure correlations in silicate glasses." Journal of Non-Crystalline Solids 277, no. 2-3 (November 2000): 98–105. http://dx.doi.org/10.1016/s0022-3093(00)00318-5.

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38

Peng, C. T. "Retrieval of structure information from retention index." Journal of Chromatography A 678, no. 2 (September 1994): 189–200. http://dx.doi.org/10.1016/0021-9673(94)80466-4.

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39

Herrero, Carmen, Ricardo Martínez, and Antonio Villar. "Population Structure and the Human Development Index." Social Indicators Research 141, no. 2 (February 6, 2018): 731–63. http://dx.doi.org/10.1007/s11205-018-1852-0.

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40

Liu, F., H. F. Lin, Y. Liu, A. Zhou, and Y. T. Dai. "Femtosecond-induced spiral micro-structured SMS fiber structure for refractive index measurement." Optics Express 26, no. 13 (June 20, 2018): 17388. http://dx.doi.org/10.1364/oe.26.017388.

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41

Varga, Ivana, Teuta Benković-Lačić, Zdenko Lončarić, and Brigita Popović and Mirjana Brmež. "Liming, phosphorus and zinc influence on soil nematode community structure at hot pepper." Horticultural Science 46, No. 2 (June 28, 2019): 65–71. http://dx.doi.org/10.17221/217/2017-hortsci.

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Monitoring the biological quality of soils often include nematodes as bioindicators. The aim of this study was determined the influence of liming, P and Zn effect on nematode community structure as an indicator of soil ecosystem health in hot pepper. Pot experiment with hot pepper was conducted in randomized block design as follows: control, P, Zn, P + Zn, lime, P + lime, Zn + lime and P + Zn + lime (25 mg/kg P, 1 mg/kg Zn and lime as 2.22 g/kg CaCO3). The highest number of nematodes genera was with phosphorus application (17.25). The most common genera were Rhabditis and Tylenchus. Above all indices, only the Structure index (SI) shown significance (P < 0.01) in reflecting soil disturbance. The highest significant correlation was found between Maturity index 2–5 and Structure index <br />(r = 0.946***), Maturity index and Plant parasitic nematode and Maturity index ratio (r = –0.919***) and between Ecological and Channel index (r = –0.815***).

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42

Zhao, Weidong, M. C. Shanmukha, A. Usha, Mohammad Reza Farahani, and K. C. Shilpa. "Computing SS Index of Certain Dendrimers." Journal of Mathematics 2021 (September 24, 2021): 1–14. http://dx.doi.org/10.1155/2021/7483508.

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The numerical descriptor gathers the data from the molecular graphs and helps to know the characteristics of the chemical structure known as topological index. The QSAR/QSPR/QSTR studies are benefited with the significant role played by topological indices in the drug design. Topological indices provide the information about the physical/chemical/biological properties of chemical compounds. The Zagreb indices are widely studied because of their extensive usage in chemical graph theory. Inspired by the earlier work on inverse sum indeg index (ISI index), novel topological index known as SS index is introduced and computed for four dendrimer structures. Also, the strong correlation coefficient between SS index and 5 physico-chemical characteristics such as boiling point (bp), molar volume (mv), molar refraction (mr), heats of vaporization (hv), and critical pressure (cp) of 67 alkane isomers have been determined. It is found that newly introduced index has shown good correlation in comparison with three most popular existing indices (ISI index and first and second Zagreb indices). In the last part, the mathematical properties of SS index are discussed.

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43

Muhammad, M. H., Juan Luis Garcia Guirao, N. A. Rehman, and M. K. Siddiqui. "COMPUTING TOPOLOGICAL INDICES OF SiO2 LAYER STRUCTURE AND BENZENOID SERIES." Latin American Applied Research - An international journal 49, no. 4 (September 20, 2019): 219–24. http://dx.doi.org/10.52292/j.laar.2019.197.

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A molecular graph can be transformed using map operations, one of these, named Capra, being defined by Diudea (2005). Topological indices are closely related to the toxicological, physicochemical, pharmacological properties of a chemical compound. These topological indices correlate certain physico-chemical properties like boiling point, stability and strain energy of chemical compounds. In this paper, we focus on the Silicate SiO2 layer structure and the structure of Capra-designed planar benzenoid series , (). We determined Zagreb type indices, Forgotten index, Augmented index and Balaban index for these structures.

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44

Ma, Ya Li, and Ai Lin Zhang. "Durability Life Prediction of Concrete Structure Based on Reliability." Advanced Materials Research 255-260 (May 2011): 410–15. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.410.

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Probability analysis on the durable life of concrete structure under chloride environment is little known. Using the probability method based on the second Fick’s law, research work was carried out to investigate the distribution factors that may influence the durable life of concrete structures. Due to the deficiency of decisive method to predict durable life, A method——based on the regulated reliability index is proposed. The relationship between durable reliability index and the corrosion time is established. The paper takes the time when the durable reliability index falls below the stipulated index as the end of durable life. The proposed method of durable life about concrete structure under chloride erosion environment is improved.

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GOMBOS, Gergo, János Márk SZALAI-GINDL, István DONKÓ, and Attila KISS. "TOWARDS ON EXPERIMENTAL COMPARISON OF THE M-TREE INDEX STRUCTURE WITH BK-TREE AND VP-TREE." Acta Electrotechnica et Informatica 20, no. 2 (June 30, 2020): 19–26. http://dx.doi.org/10.15546/aeei-2020-0009.

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Zhu, Lei. "Accelerating Content-Based Image Retrieval via GPU-Adaptive Index Structure." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/829059.

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A tremendous amount of work has been conducted in content-based image retrieval (CBIR) on designing effective index structure to accelerate the retrieval process. Most of them improve the retrieval efficiency via complex index structures, and few take into account the parallel implementation of them on underlying hardware, making the existing index structures suffer from low-degree of parallelism. In this paper, a novel graphics processing unit (GPU) adaptive index structure, termed as plane semantic ball (PSB), is proposed to simultaneously reduce the work of retrieval process and exploit the parallel acceleration of underlying hardware. In PSB, semantics are embedded into the generation of representative pivots and multiple balls are selected to cover more informative reference features. With PSB, the online retrieval of CBIR is factorized into independent components that are implemented on GPU efficiently. Comparative experiments with GPU-based brute force approach demonstrate that the proposed approach can achieve high speedup with little information loss. Furthermore, PSB is compared with the state-of-the-art approach, random ball cover (RBC), on two standard image datasets, Corel 10 K and GIST 1 M. Experimental results show that our approach achieves higher speedup than RBC on the same accuracy level.

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Balanda, M. "Spatio-temporal structure of natural forest: A structural index approach." Beskydy 5, no. 2 (2012): 163–72. http://dx.doi.org/10.11118/beskyd201205020163.

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The submitted paper deals with the analysis of stand structure of mixed species natural forest located in the Carpathians, Middle Europe. In order to evaluation of structural diversity we chose the combination of distance independent and nearest-neighbor indices. Following structural indices were calculated: Shanon-Weaver index (S-W), diameter differentiation index (Td), Gigi coefficient (G), mingling index (DMi) and Clark Evans index (CEd). The permanent research plot with area of 2.5ha was established in National Naure Reserve Hrončecký grúň and subdivided into 25×25m subplots. The combination of mentioned indices was calculated for each subplot separately. Regarding the diameter heterogeneity, the most part of analyzed structures showed the moderate level of tree size differentiation (S-W value 0.393±0.074). The presence of high number of juvenile individuals which already reached the diameter category “above 2cm” did not significantly affect the diameter variation of investigated stand. On the other hand, a massive establishment of subsequent generation led to creation of spatial structure characteristic by high level of vertical differentiation (Gini coefficient 0.47 in the structure characterized as the breakdown with successive generation). High climax species richness was confirmed by calculated values of DMi index (maximum relative presence in the category from 0.3 to 0.4). Each tree was surrounded by two and more different species individuals. Analysis discovers the negative developmental shift in the DMi values towards to less differentiated structures. Regarding the horizontal distribution the analysis of CEd values indicated that investigated natural forest can reveal a random distribution of individuals regardless of developmental stage.

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Naeem, Muhammad, A. Q. Baig, M. A. Zahid, S. Qaisar, and M. Bari. "ECCENTRIC INDICES OF CRYSTAL CUBIC CARBON STRUCTURE." Latin American Applied Research - An international journal 50, no. 3 (March 10, 2020): 197–201. http://dx.doi.org/10.52292/j.laar.2020.69.

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Chemical graph theory helps to understand the structural properties of a molecular graph. The molecular graphs are the graphs that consists of atoms called vertices and the covalent bond between them called edges. The eccentricity _u of vertex u in a connected graph G, is the distance between u and a vertex far- thermost from u. In this article, we study the modified eccentric connectivity index _c(G), Ediz eccentric connectivity index E_c(G), Augmented Eccentric Connectivity index A_(G), superaugmented eccentric connectivity index-1, index-2, index-3 and modi_ed eccentric connectivity polynomial _c(G; x) of CCC(n) of crystal structure of cubic carbon for n-levels.

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Gao, Wei, Weifan Wang, Muhammad Kamran Jamil, and Mohammad Reza Farahani. "Electron Energy Studying of Molecular Structures via Forgotten Topological Index Computation." Journal of Chemistry 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/1053183.

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It is found from the earlier studies that the structure-dependency of totalπ-electron energyEπheavily relies on the sum of squares of the vertex degrees of the molecular graph. Hence, it provides a measure of the branching of the carbon-atom skeleton. In recent years, the sum of squares of the vertex degrees of the molecular graph has been defined as forgotten topological index which reflects the structure-dependency of totalπ-electron energyEπand measures the physical-chemical properties of molecular structures. In this paper, in order to research the structure-dependency of totalπ-electron energyEπ, we present the forgotten topological index of some important molecular structures from mathematical standpoint. The formulations we obtained here use the approach of edge set dividing, and the conclusions can be applied in physics, chemical, material, and pharmaceutical engineering.

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Zhang, Ning, Zhuo Bin Wei, and Sen Wu. "Experimentation Study of Damage Identification for Steel-Frame Structure Based on AR Model." Advanced Materials Research 490-495 (March 2012): 334–38. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.334.

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By using the AR (Auto-regressive) self-regression model, structure acceleration data are fitted. By using fitted coefficients, the characteristic vector of structure damage is constructed. Based on the Mahalanobis distance of the characteristic vectors under different states, the index of structure damage is designed. By comparing the characteristic index of healthy structures and the damaged ones, damages can be detected. By an experiment of damage identification on steel-frame structure model, the effectiveness of the method is validated.

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