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Journal articles on the topic 'Vector-indicator'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Yang, Yun, Jianping Luo, Lei Huang, and Qiqi Liu. "A many-objective evolutionary algorithm with epsilon-indicator direction vector." Applied Soft Computing 76 (March 2019): 326–55. http://dx.doi.org/10.1016/j.asoc.2018.11.041.

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2

Trunov, Alexander. "VECTOR INDICATOR AS A TOOL OF RECURRENT ARTIFICIAL NEURON NET FOR PROCESSING DATA." EUREKA: Physics and Engineering 4 (July 29, 2016): 55–60. http://dx.doi.org/10.21303/2461-4262.2016.000129.

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The three-level comparator is applied as a tool to formation of vector-indicator of function and its argument and recurrent artificial neuron net (RANN). The modernization of expression in Fourier series due to usage of the vector-indicator components is introduced. The example of RANN for peripheral processing data on the basis of a long-short-term memory is proposed. The dependence of number point shift from order of oldest derivatives in expression is studied. The system equations realizing conditions of minimization a sum of squared deviations from the patterns are written. The processes o

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3

Zhang, Lieping, Huihao Peng, Jiajie He, Shenglan Zhang, and Zuqiong Zhang. "Three-dimensional localization algorithm of mobile nodes based on received signal strength indicator-angle of arrival and least-squares support-vector regression." International Journal of Distributed Sensor Networks 18, no. 7 (2022): 155013292211119. http://dx.doi.org/10.1177/15501329221111961.

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Node localization is one of the key technologies in the wireless sensor network research field, which is crucial to the high-accuracy localization of mobile nodes, but the positioning error of traditional algorithms such as received signal strength indicator and angle of arrival is more than 4 m, which has almost no practical value. For example, the localization accuracy of the localization algorithm based on received signal strength indicator will be reduced sharply when affected by signal reflection, multipath propagation, and other interference factors. To solve the problem, a three-dimensi

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Karmanov, A. V., K. P. Orlova, V. E. Serkin, and M. A. Tokarev. "Solving the problem of stability of the stationary quality indicator of complex technical systems." Dependability 23, no. 4 (2023): 3–7. http://dx.doi.org/10.21683/1729-2646-2023-23-4-3-7.

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Aim. To define and solve the problem of stability of the stationary quality indicator of a complex technical system. The random process of the system’s walking by its possible states is described with a homogeneous Markov process. The stability problem consists in defining such stationary (final) probabilities of the Markov process that implement the maximum and minimal values of the quality indicator, provided that the rate of state transitions have interval estimations and the rates are conditioned by the process of failures and recoveries of the system’s elements. The stationary quality ind

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Rozhkov, I. M., N. A. Isaeva, I. M. Zaytsev, I. A. Larionova, and Yu Yu Kostyukhin. "Management of the value added made by the entity using imitating modelling." Economy in the industry 11, no. 1 (2018): 44–51. http://dx.doi.org/10.17073/2072-1633-2018-1-44-51.

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The research is directed to implementation of an automatic control system system by economy of the entity. Three stages of the solution of this task are allocated. The first stage – forming and the forecast of the integrated indicator characterizing an economic condition of the entity. As such indicator, the value added of products made by the entity is accepted. Private indicators, which influence the size of an integrated economic indicator, are considered. The second stage – creation of an estimative vector. The general technique of quantitative assessment of an economic situation in the en

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Choi, Ji-Young, Chulman Jo, and Sangmee Ahn Jo. "Construction of a new T-vector: Nickase (Nt.BspQI)-generated T-vector bearing a reddish-orange indicator gene." Tissue Engineering and Regenerative Medicine 13, no. 1 (2016): 66–69. http://dx.doi.org/10.1007/s13770-015-0118-z.

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7

Kolev, Nikolai, Ekaterina T. Kolkovska, and José Alfredo López-Mimbela. "Joint probability generating function for a vector of arbitrary indicator variables." Journal of Computational and Applied Mathematics 186, no. 1 (2006): 89–98. http://dx.doi.org/10.1016/j.cam.2005.03.066.

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8

Yamamoto, Pedro T., Renato B. Bassanezi, Nelson A. Wulff, et al. "Citrus Sudden Death Is Transmitted by Graft-Inoculation and Natural Transmission Is Prevented by Individual Insect-Proof Cages." Plant Disease 95, no. 2 (2011): 104–12. http://dx.doi.org/10.1094/pdis-04-10-0307.

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Citrus sudden death (CSD) transmission was studied by graft-inoculation and under natural conditions. Young sweet orange trees on Rangpur rootstock were used as indicator plants. They were examined regularly for one or two characteristic markers of CSD: (i) presence of a yellow-stained layer of thickened bark on the Rangpur rootstock, and (ii) infection with the CSD-associated marafivirus. Based on these two markers, transmission of CSD was obtained, not only when budwood for graft-inoculation was taken from symptomatic, sweet orange trees on Rangpur, but also when the budwood sources were asy

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9

Yu, Yunhua, Haitao Shi, and Lifei Mi. "Research on Feature Extraction of Indicator Card Data for Sucker-Rod Pump Working Condition Diagnosis." Journal of Control Science and Engineering 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/605749.

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Three feature extraction methods of sucker-rod pump indicator card data have been studied, simulated, and compared in this paper, which are based on Fourier Descriptors (FD), Geometric Moment Vector (GMV), and Gray Level Matrix Statistics (GLMX), respectively. Numerical experiments show that the Fourier Descriptors algorithm requires less running time and less memory space with possible loss of information due to nonoptimal numbers of Fourier Descriptors, the Geometric Moment Vector algorithm is more time-consuming and requires more memory space, while the Gray Level Matrix Statistics algorith

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10

Metelenko, Natalya, Valentyna Khrapkina, Olena Ovіechkina, Olexandr Shapurov, and Oksana Rudych. "Polyvariance of vector formation of sustainable development of metallurgical enterprises." Revista Amazonia Investiga 11, no. 55 (2022): 69–79. http://dx.doi.org/10.34069/ai/2022.55.07.7.

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The article establishes that the formation of the vector of sustainable development of metallurgical enterprises should be based on the use of such methodological approaches as systems analysis and program-target approach; on a combination of methods of economic diagnostics (method of expert assessment, method of economic and mathematical modeling, methods of multifactor and trend analysis). The polyvariance of the process of forming a system of indicators, which is the basis for calculating the integrated indicator of the vector of sustainable development, ensures taking into account the stat

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11

Xie, Wei Dong, Kan Gao, and Ji Sheng Shen. "Research on Indicator Diagram of Shock Absorber Fault Recognition Based on Support Vector Machine." Advanced Materials Research 765-767 (September 2013): 2195–98. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.2195.

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In order to meet the development of shock absorber on-line detection, a new method of indicator diagrams recognition for shock absorber based on support vector machine (SVM) is proposed. Different fault patterns of shock absorber indicator diagram are discussed, including their main causes. The recognition model is constructed each with Linear, Polynomial and Radial Basis Function (RBF) kernel function. The experimental results show that the best average recognition rate is 96.4%. This method is effective in indicator diagram fault recognition of shock absorber.

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12

Dewi, Mardiyah Sari, Albertus Djoko Lesmono, Hadiyanto Hadiyanto, and Arif Harimukti. "KETERAMPILAN BERPIKIR KREATIF SISWA MENGGUNAKAN MODEL PBL (Problem Based Learning) DENGAN PENDEKATAN STEM PADA MATERI VEKTOR DI KELAS X MIPA 4 SMA NEGERI 2 JEMBER." JURNAL PEMBELAJARAN FISIKA 9, no. 1 (2020): 44. http://dx.doi.org/10.19184/jpf.v9i1.17963.

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This study discusses how students think about vector material through PBL (Problem Based Learning) models using STEM (Science, Technology, Engineering, and Mathematics). The method used in this study uses qualitative descriptive research. The subjects of this study were students of grade X MIPA 4 SMA Negeri 2 Jember with a total of 35 students. The instruments of collecting data in this study consisted of student worksheets and questionnaires to measure students' creative thinking skills. Student worksheets are provided using STEM (Science, Technology, Engineering, and Mathematics) which have

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13

Arsyad, Nurdin, Ahmad Talib, and Agung Izzul Haq. "ANALISIS KEMAMPUAN KONEKSI MATEMATIS DITINJAU DARI KEMAMPUAN AWAL MAHASISWA JURUSAN MATEMATIKA." Didaktika : Jurnal Kependidikan 15, no. 2 (2022): 90–100. http://dx.doi.org/10.30863/didaktika.v15i2.789.

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This study is qualitative research that aimed to get the analysis result of the mathematical connection ability of undergraduates with low, moderate, and high initial ability at vector spaces topic. The research subjects are three undergraduate students in the fourth semester in the mathematics department, one for each initial ability category. The research data was obtained by mathematical connection ability tests and in-depth interviews. These data were analyzed based on two mathematical connection ability indicator, that is (1) connect mathematical ideas, in forms of fact, concept, principl

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14

Sahoo, Kalpana, and Narayan Sethi. "Impact of Foreign Capital on Economic Development in India: An Econometric Investigation." Global Business Review 18, no. 3 (2017): 766–80. http://dx.doi.org/10.1177/0972150917692198.

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The present study empirically investigates the long-run causal relationship between foreign capital and economic development in India by using the annual time-series data from 1990–1991 to 2013–2014. The study uses some selected macroeconomic variables such as per capita government expenditure on education (PcGEE, as an indicator of economic development), gross domestic product (GDP, as an indicator of economic growth), gross capital formation (GCF, as an indicator of domestic investment), official development assistance (ODA, as an indicator of foreign official inflows) and foreign direct inv

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15

Yildirim, Ali Yilmaz, Stefan Couturier, Konstantin Schwalm, Marc Adrat, Christiane Antweiler, and Peter Jax. "Spectrum Monitoring Based on Error Vector Magnitude and Received Signal Strength Indicator." Procedia Computer Science 205 (2022): 10–19. http://dx.doi.org/10.1016/j.procs.2022.09.002.

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16

Mohd Salleh, Mohd Radhie, Muhammad Zulkarnain Abd Rahman, Zamri Ismail, et al. "SUPPORT VECTOR MACHINE FOR LANDSLIDE ACTIVITY IDENTIFICATION BASED ON VEGETATION ANOMALIES INDICATOR." Journal of Information System and Technology Management 7, no. 25 (2022): 148–58. http://dx.doi.org/10.35631/jistm.725012.

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Landslide activity identification is critical for landslide inventory mapping. A detailed landslide inventory map is highly required for various purposes such as landslide susceptibility, hazard, and risk assessments. This paper proposes a novel approach based on vegetation anomalies indicator (VAI) and applying machine learning method namely support vector machine (SVM) to identify status of natural-terrain landslides. First, high resolution airborne LiDAR data and satellite imagery were used to derive landslide-related VAIs, including tree height irregularities, canopy gap, density of differ

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17

Ito, Yoichiro, Miho Suzuki, and Yuzuru Husimi. "A T-extended vector using a green fluorescent protein as an indicator." Gene 245, no. 1 (2000): 59–63. http://dx.doi.org/10.1016/s0378-1119(00)00039-1.

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18

Guo, Zijian, Xintao Liu, and Pengxiang Zhao. "A Vector Field Approach to Estimating Environmental Exposure Using Human Activity Data." ISPRS International Journal of Geo-Information 11, no. 2 (2022): 135. http://dx.doi.org/10.3390/ijgi11020135.

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Environmental exposure of people plays an important role in assessing the quality of human life. The most existing methods that estimate the environmental exposure either focus on the individual level or do not consider human mobility. This paper adopts a vector field generated from the observed locations of human activities to model the environmental exposure at the population level. An improved vector-field-generation method was developed by considering people’s decision-making factors, and we proposed two indicators, i.e., the total exposure indicator (TEI) and the average exposure indicato

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19

Assali, Mohyeddin, Naim Kittana, Ismail Badran, and Safa Omari. "Covalent functionalization of graphene sheets for plasmid DNA delivery: experimental and theoretical study." RSC Advances 13, no. 10 (2023): 7000–7008. http://dx.doi.org/10.1039/d3ra00727h.

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Graphene sheets were functionalized covalently with an appropriate linker as a novel vector for p-DNA delivery into mammalian cells. The transfected cancer cells produced green fluorescence as an indicator of successful gene delivery.

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20

Vibhute, Pavankumar Janardan. "3D Retraction Force Vector Indicator for Anterior en masse Retraction with Miniscrew Anchorage." Journal of Indian Orthodontic Society 46 (April 2012): 103–8. http://dx.doi.org/10.5005/jp-journals-10021-1069.

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21

Hu, Jianwen. "Monotonic Vector Space Model(II): Application in System Capability Indicator Analysis and Design." American Journal of Operations Research 04, no. 01 (2014): 42–51. http://dx.doi.org/10.4236/ajor.2014.41005.

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22

Liu, Yuanchao, Jianchang Liu, Tianjun Li, and Qian Li. "An R2 indicator and weight vector-based evolutionary algorithm for multi-objective optimization." Soft Computing 24, no. 7 (2019): 5079–100. http://dx.doi.org/10.1007/s00500-019-04258-y.

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23

Xiao, Cheng, Zuojun Liu, Tieling Zhang, and Lei Zhang. "On Fault Prediction for Wind Turbine Pitch System Using Radar Chart and Support Vector Machine Approach." Energies 12, no. 14 (2019): 2693. http://dx.doi.org/10.3390/en12142693.

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In order to reduce operation and maintenance cost and improve fault diagnosis and detection accuracy for wind turbines, a study on advanced methods has been carried out. The purpose of this paper is to present a new method developed using radar chart and support vector machine (SVM) approach for fault diagnosis and prediction of wind turbine pitch system as it usually has a higher failure rate. In the study, the supervisory control and data acquisition (SCADA) system data are utilized as source data for SVM prediction. First of all, the characteristics of the indicator variable data collected

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24

Voloboiev, V. P., and V. P. Klymenko. "To the problem of the interrelation of the matrix close to degeneracy and the stability of the so-lution of the system of linear algebraic equations describing a physical object." Mathematical machines and systems 2 (2024): 78–88. http://dx.doi.org/10.34121/1028-9763-2024-2-78-88.

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It is generally accepted that the proximity of the matrix to degeneracy uniquely determines the instability of the system of linear algebraic equations (SLAE). There is only an assumption that the instability of the numerical solution of the SLAE in the case of a matrix close to degeneracy is caused by the rounding error of the arithmetic operation of addition (subtraction). When de-termining the mechanism of the interrelation of the matrix close to degeneracy and the solvabil-ity of the SLAE, as a model example, all stages of the calculation of the electric circuit are ana-lyzed, namely, the

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25

Su, Fang, and HaiYang Shang. "A Wavelet Kernel-Based Primal Twin Support Vector Machine for Economic Development Prediction." Mathematical Problems in Engineering 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/875392.

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Economic development forecasting allows planners to choose the right strategies for the future. This study is to propose economic development prediction method based on the wavelet kernel-based primal twin support vector machine algorithm. As gross domestic product (GDP) is an important indicator to measure economic development, economic development prediction means GDP prediction in this study. The wavelet kernel-based primal twin support vector machine algorithm can solve two smaller sized quadratic programming problems instead of solving a large one as in the traditional support vector mach

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26

Nekrasov, Sergey A., and V. N. Mironov. "Patent Activity as an Indicator Determining the Vector of Development of the World Economy." Economics of Contemporary Russia, no. 2 (July 17, 2019): 115–30. http://dx.doi.org/10.33293/1609-1442-2019-2(85)-115-130.

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Analysis of the change in the number of annually filed patent applications is a new method for studying the patterns of economic development. The article considers two trends. Firstly, the growth of patent applications is decreasing in the whole world with the exception of China since the 1980s excluding the short – term interval of 1997–2002, after 2002 does not exceed 1.5% per year. In China, the annual 20% increase in the number of patent applications over 25 years led to an increase in its share in the patent applications of the world by more than 40%. At the same time, the distribution of

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27

Sun, Wenjing, and Junhua Li. "A strengthened diversity indicator and reference vector-based evolutionary algorithm for many-objective optimization." Soft Computing 25, no. 15 (2021): 10257–73. http://dx.doi.org/10.1007/s00500-021-05981-1.

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28

Sun, Wenjing, and Junhua Li. "An Evolutionary Algorithm for Many-Objective Optimization Based on Indicator and Vector-Angle Decomposition." IEEE Access 8 (2020): 195089–101. http://dx.doi.org/10.1109/access.2020.3032639.

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29

Inouye, Satoshi, Hidesato Ogawa, Kunio Yasuda, Kazuhiko Umesono, and Frederick I. Tsuji. "A bacterial cloning vector using a mutated Aequorea green fluorescent protein as an indicator." Gene 189, no. 2 (1997): 159–62. http://dx.doi.org/10.1016/s0378-1119(96)00753-6.

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30

Cheong, Dea-Eun, Woo-Suk Chang та Geun-Joong Kim. "A cloning vector employing a versatile β-glucosidase as an indicator for recombinant clones". Analytical Biochemistry 425, № 2 (2012): 166–68. http://dx.doi.org/10.1016/j.ab.2012.03.004.

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31

Zhao, Yuanying, Dengke Xu, Xingde Duan, and Yicheng Pang. "Bayesian Subset Selection for Reproductive Dispersion Linear Models." Journal of Systems Science and Information 2, no. 1 (2014): 77–85. http://dx.doi.org/10.1515/jssi-2014-0077.

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AbstractWe propose a full Bayesian subset selection method for reproductive dispersion linear models, which bases on expanding the usual link function to a function that incorporates all possible subsets of predictors by adding indictors as parameters. The vector of indicator variables dictates which predictors to delete. An efficient MCMC procedure that combining Gibbs sampler and Metropolis-Hastings algorithm is presented to approximate the posterior distribution of the indicator variables. The promising subsets of predictors can be identified as those with higher posterior probability. Seve

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32

Zhang, Guidong, Yuxin Shi, and Yuhong Sheng. "Least Absolute Deviation Estimation for Uncertain Vector Autoregressive Model with Imprecise Data." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 31, no. 03 (2023): 353–70. http://dx.doi.org/10.1142/s0218488523500186.

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The uncertain vector autoregressive model is able to model the interrelationships between different variables, which is more advantageous compared to the traditional autoregressive model, when modeling real-life objects and where the observed values are imprecise. In this paper, the parameters of the uncertain vector autoregressive model are estimated by using least absolute deviation estimation (LAD) to obtain a fitted uncertain vector autoregressive model, and residual analysis is performed to obtain estimates of expected values and variances of the residuals. In addition, future values are

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33

Li, Zhanjiang, and Chengrong Yang. "Establishment of the Credit Indicator System of Micro Enterprises Based on Support Vector Machine and R-Type Clustering." Mathematical Problems in Engineering 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/6390720.

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The micro enterprises’ credit indicators with credit identification ability are selected by the two classification models of Support Vector Machine for the first round of indicator selection and then for the second round of indicator selection, deleting credit indicators with redundant information by clustering variables through the principle of minimum sum of deviation squares. This paper provides a screening model for credit evaluation indicators of micro enterprises and uses credit data of 860 micro enterprises samples in Inner Mongolia in western China for application analysis. The test re

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34

Li, Juanni, and Jun Shao. "A fault diagnosis method based on the Support Vector Machine in rod pumping systems." Journal of Physics: Conference Series 2125, no. 1 (2021): 012004. http://dx.doi.org/10.1088/1742-6596/2125/1/012004.

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Abstract Monitoring the working status of the sucker rod pump is an important part in petroleum engineering. With the development of artificial intelligence technology, more methods have been applied to the fault diagnosis of rod pumping systems. An evolutional fault diagnosis method based on Support Vector Machine (SVM) in sucker rod pumping systems is proposed. Fourier descriptors and Light Field compression algorithm are used in this method to extract the graphic features of the indicator diagram. SVM is used to build fault classification model. This method is verified experimentally throug

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35

Kesrarat, Darun, and Vorapoj Patanavijit. "Experimental Study in Error Vector Magnitude of Bidirectional Confidential with Median Filter on Spatial Domain Optical Flow under Non Gaussian Noise Contamination." ECTI Transactions on Electrical Engineering, Electronics, and Communications 14, no. 2 (2016): 1–10. http://dx.doi.org/10.37936/ecti-eec.2016142.171135.

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In this paper, we focus on the robustness in noise tolerance of spatial domain optical flow and we present a performance study of bidirectional confidential with median filter on spatial domain optical flow (spatial correlation, local based, and global based) under non Gaussian noise where several noise tolerance models on spatial domain optical flow are used in comparison. The experiment results are investigated on robustness under noisy condition by using non Gaussian noise (Poisson Noise, Salt & Pepper noise, and Speckle Noise) in contamination with several standard sequences. The exper

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36

Ross, Sheldon M. "Optimal Server Selection in a Queueing Loss Model with Heterogeneous Exponential Servers, Discriminating Arrivals, and Arbitrary Arrival Times." Journal of Applied Probability 51, no. 3 (2014): 880–84. http://dx.doi.org/10.1239/jap/1409932680.

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We consider a multiple server queueing loss system where the service times of server i are exponential with rate μi, where μi decreases in i. Arrivals have associated vectors (X1, …, Xn) of binary variables, with Xi = 1 indicating that server i is eligible to serve that arrival. Arrivals finding no idle eligible servers are lost. Letting Ij be the indicator variable for the event that the jth arrival enters service, we show that, for any arrival process, the policy that assigns arrivals to the smallest numbered idle eligible server stochastically maximizes the vector (I1, …, Ir) for every r if

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Koloko, R. J. Koloko, P. Ele, R. Wamkeue, and A. Melingui. "Fault Detection and Classification of a Photovoltaic Generator Using the BES Optimization Algorithm Associated with SVM." International Journal of Photoenergy 2022 (November 8, 2022): 1–14. http://dx.doi.org/10.1155/2022/6841861.

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In this work, an innovative approach based on the estimation of the photovoltaic generator (GPV) parameters from the Bald Eagle Search (BES) optimization algorithm, associated with a support vector machine (SVM) classification algorithm, allowed to highlight a new tool for the classification of the signatures of shading and moisture PV defects. It recognizes signatures generated by the GPV in healthy and erroneous operation using the optimized parametric vector and classifies defects using the same optimized vector. The technique emphasizes the resilience of parameter estimate in terms of erro

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Xian, Zhang, Xiong Qian, Cheng Changkui, et al. "State Evaluation Model of High voltage Switchgear Based on Fuzzy Set-valued Statistical Method and Kernel Vector Space Model." E3S Web of Conferences 252 (2021): 02007. http://dx.doi.org/10.1051/e3sconf/202125202007.

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The traditional high voltage switchgear (HVS) state evaluation model mostly adopts electrical test, live detection and historical data, neglecting the influence of real-time operation data of HVS composition equipment on the state evaluation results. This paper proposes a HVS operation state evaluation model based on fuzzy set-valued statistics method and kernel vector space model based on electrical test data and on-line monitoring data. First of all, according to the components of high voltage switchgear, the operation state of HVS is described and the evaluation index system is established.

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39

Zabozlaev, F. G., and A. V. Sorokina. "MORPHOHYSTOMETRICAL INDICATORS OF STROMAL AND PARENCHYMAL RELATIONSHIPS AT ORGANISM AGING." Journal of Clinical Practice 2, no. 2 (2011): 26–31. http://dx.doi.org/10.17816/clinpract2226-31.

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The clinicomorphological analysis with using the histostereometric method of research of myocardium, liver and kidneys, taken from the autopsies of 160 died patients from the period 20092010 was performed in the age aspect. Significant direct changes of the specific volume of highly specialized myocardium and liver cellular structures and stromal component were revealed at the organism aging. The specific volume of a bloodstream had veracious multidirectional action vector – in myocardium and liver. The identification of relative indicator of histostereometrical indicator dynamics in myocardiu

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Alexandr, Trunov, Beglytsia Volodymyr, Gryshchenko Gennady, Ziuzin Viktor, and Koshovyi Vitalii. "Methods and tools of formation of general indexes for automation of devices in rehabilitative medicine for post-stroke patients." Eastern-European Journal of Enterprise Technologies 4, no. 2 (112) (2021): 35–46. https://doi.org/10.15587/1729-4061.2021.239288.

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The current processes of recovery of post-infarction and post-stroke patients in the context of the establishment of the institution of family doctors and insurance medicine are considered. It was proposed to introduce modules for automation of recovery devices (MARD) to ensure procedures, quality of life and reduce labor costs during the period of long-term recovery. The forms of presentation of the model of the integral indicator are substantiated, which, in accordance with the requirements of the Ministry of Health, assesses the generalized indicator of the patient's statement (GIPS), t

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41

Luo, Zeyu, Hao Chen, Xian-Bo Wang, and Zhi-Xin Yang. "On-line Remaining Charging-discharging Cycle Prediction of Lithium-ion Batteries using Cumulative Indicator." Journal of Physics: Conference Series 2166, no. 1 (2022): 012009. http://dx.doi.org/10.1088/1742-6596/2166/1/012009.

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Abstract Prediction of the effective number of full charging-discharging cycle is valuable for lithium-ion battery (LIB) replacement and recycling. This paper proposes to construct a cumulative degradation indicator (CDI) to work as a more predictable indicator. The proposed CDI is better than the original degradation indicator (DI) in multiple criteria. In the stage of determining the end-of-life (EoL) threshold, a relevance vector machine (RVM) is introduced to screen a small number of available samples, and to reduce the prediction error. In the experimental verification stage, this paper u

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42

Yu, Bo, Zheng Wang, Xiaomin Liu, Tong Liu, and Xinyi Liu. "Transmission line engineering cost prediction based on principal component analysis and least square support vector machine." E3S Web of Conferences 136 (2019): 01028. http://dx.doi.org/10.1051/e3sconf/201913601028.

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Due to the many factors affecting the cost of transmission line engineering and the lack of mutual independence, it is difficult to predict the cost. Firstly, the principal component analysis is used to process the original indicator data, eliminating the correlation between the original indicators and extracting the potential comprehensive independent indicators. Then, the new indicator is used as the input set to construct the predictive learning model based on the least squares support vector machine, and the predicted output and the actual value are compared and analyzed. The results show

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Zhu, Zhennan, and Jingquan Jin. "Security risk prediction technology for power monitoring system under the integration of OT and IT." International Journal for Simulation and Multidisciplinary Design Optimization 15 (2024): 24. http://dx.doi.org/10.1051/smdo/2024024.

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As an essential force for economic advancement and social stability, the security of the power system has always been a concern. Therefore, the security risks of power monitoring systems are a research focus. This study proposes a prediction method that integrates IT and OT for the security risk prediction of power monitoring systems. A basic indicator system for security risks for analyzing risk data is constructed, the support vector machine regression feature elimination method for predicting security risks in IT Technology is used. The experiment showed that the accuracy of the support vec

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Kitrar, L. A., M. A. Rahmanov, and T. M. Lipkind. "Results of Economic Tendency Surveys in Nowcasting GDP Growth." Voprosy statistiki 31, no. 5 (2024): 5–22. http://dx.doi.org/10.34023/2313-6383-2024-31-5-5-22.

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The article proves the usefulness of including aggregate information from economic tendency surveys in the system of nowcasting of economic growth. The authors compare the efficiency of vector autoregressive models that include the economic sentiment indicator based on the results of Rosstat business activity and consumer expectations surveys, and the business climate indicator based on the results of the Bank of Russia enterprise monitoring.Statistical testing of time series of composite indicators and GDP volume index confirmed a significant correlation and causality between them, as well as

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Ross, Sheldon M. "Optimal Server Selection in a Queueing Loss Model with Heterogeneous Exponential Servers, Discriminating Arrivals, and Arbitrary Arrival Times." Journal of Applied Probability 51, no. 03 (2014): 880–84. http://dx.doi.org/10.1017/s0021900200011736.

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We consider a multiple server queueing loss system where the service times of server i are exponential with rate μ i , where μ i decreases in i. Arrivals have associated vectors (X 1, …, X n ) of binary variables, with X i = 1 indicating that server i is eligible to serve that arrival. Arrivals finding no idle eligible servers are lost. Letting I j be the indicator variable for the event that the jth arrival enters service, we show that, for any arrival process, the policy that assigns arrivals to the smallest numbered idle eligible server stochastically maximizes the vector (I 1, …, I r ) for

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Ohemeng, Francis Danquah, and Falguni Mukherjee. "Modelling the Spatial Distribution of the Anopheles Mosquito for Malaria Risk Zoning Using Remote Sensing and GIS." International Journal of Applied Geospatial Research 6, no. 3 (2015): 7–20. http://dx.doi.org/10.4018/ijagr.2015070101.

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Remote Sensing and Geographic Information System was used to develop a spatial risk malaria distribution model based on environmental suitability for survival of the Anopheles gambie sp. Complex (A. arabiensis and A. gambae), the vector known to transmit malaria in Zimbabwe (Masendu, 1996). Employing geostatistical techniques, spatial analysis of environmental factors that contribute to the spread of the malaria vector was conducted to develop a malaria risk model that could be used in effective malaria control planning in Zimbabwe. The study was conducted in the Piriwiri, Umfuli and Magondi c

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Chang, Tzu-Pu, and Jin-Li Hu. "Incorporating a leading indicator into the trading rule through the Markov-switching vector autoregression model." Applied Economics Letters 16, no. 12 (2009): 1255–59. http://dx.doi.org/10.1080/13504850701367254.

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Taguchi, Seiichi, Keisuke Furukawa, Haruo Momose, and Michimasa Kishimoto. "Optimization of the microbial production of a protein (SSI) using an indicator host-vector system." Journal of Fermentation and Bioengineering 73, no. 4 (1992): 317–18. http://dx.doi.org/10.1016/0922-338x(92)90191-v.

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Fassino, Claudia, Eva Riccomagno, and Maria Piera Rogantin. "Cubature rules and expected value of some complex functions." Journal of Algebraic Statistics 10, no. 1 (2019): 115–27. http://dx.doi.org/10.18409/jas.v10i1.72.

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The expected value of some complex valued random vectors is computed by means of the indicator function of a designed experiment as known in algebraic statistics. The general theory is set-up and results are obtained for nite discrete random vectors and the Gaussian random vector. The precision space of some cubature rules/designed experiments are determined.

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BALAZARD, MICHEL, and ANNE DE ROTON. "SUR UN CRITÈRE DE BÁEZ-DUARTE POUR L'HYPOTHÈSE DE RIEMANN." International Journal of Number Theory 06, no. 04 (2010): 883–903. http://dx.doi.org/10.1142/s1793042110003307.

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Define en(t) = {t/n}. Let dN denote the distance in L2(0, ∞; t-2dt) between the indicator function of [1, ∞[ and the vector space generated by e1,…, eN. A theorem of Báez-Duarte states that the Riemann hypothesis (RH) holds if and only if dN → 0 when N → ∞. Assuming RH, we prove the estimate [Formula: see text]

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