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Journal articles on the topic 'Geometric Process'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Rahmah, Salma Mu'allimatur. "Profil Berpikir Geometri Siswa SMP dalam Menyelesaikan Soal Geometri Ditinjau dari Level Berpikir Van Hiele." MATHEdunesa 9, no. 3 (2021): 562–69. http://dx.doi.org/10.26740/mathedunesa.v9n3.p562-569.

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Abstrak Berpikir geometris merupakan serangkaian aktivitas yang dilakukan oleh siswa dalam menyelesaikan soal geometri meliputi visualisasi, konstruksi, dan penalaran. Terdapat perbedaan dalam proses berpikir geometris yang dilakukan para siswa dalam menyelesaikan soal. Salah satu yang mempengaruhi proses berpikir geometris siswa adalah level berpikir Van Hiele. Penelitian ini merupakan penelitian deskriptif kualitatif yang bertujuan untuk mendeskripsikan profil berpikir geometris siswa dalam menyelesaikan soal geometri ditinjau dari level berpikir Van Hiele. Subjek penelitian ini terdir

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2

Chukova, Stefanka, and Leda Minkova. "Geometric Pólya-Aeppli process." Stochastics 92, no. 8 (2019): 1261–75. http://dx.doi.org/10.1080/17442508.2019.1697269.

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3

Müller, Tobias, and Reto Spöhel. "A geometric Achlioptas process." Annals of Applied Probability 25, no. 6 (2015): 3295–337. http://dx.doi.org/10.1214/14-aap1074.

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4

Yang, Aijun, Hui Yu, and Zhenhai Yang. "The MLE of Geometric Parameter for a Geometric Process." Communications in Statistics - Theory and Methods 35, no. 10 (2006): 1921–30. http://dx.doi.org/10.1080/03610920600728609.

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5

Lam, Yeh. "Optimal geometric process replacement model." Acta Mathematicae Applicatae Sinica 8, no. 1 (1992): 73–81. http://dx.doi.org/10.1007/bf02006074.

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6

ERGÜL, Ayşegül. "Investigation of Preschool Children’s Process of Forming Basic Geometric Shapes with the Geoboard." Uşak Üniversitesi Eğitim Araştırmaları Dergisi 9, no. 2 (2023): 51–67. http://dx.doi.org/10.29065/usakead.1251364.

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Okul öncesi dönemde temel geometrik şekillerin öğrenilmesi ilk önce şekillerin fark edilmesi ve isimlerinin öğrenilmesi aşamaları ile başlamaktadır. Çocuklar gelişim sürecinde ilerledikçe, şekiller arasındaki benzerlik ve farklılıkları da görebilmektedirler. Çocukların sonraki aşamalarda şekiller arasında ilişki kurabilmeleri ve daha karmaşık geometri işlemlerini yapabilmeleri için, oyun ve somut materyallerle şekilleri öğrenme gereksinimleri vardır. Geometrik şekillerin kazanılmasını destekleyen araçlardan biri geometri tahtasıdır. Bu araştırmada çocukların üçgen, kare ve dikdörtgen şekilleri

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7

PARK, SANG C., GOPALAN MUKUNDAN, SHUXIN GU, and GUSTAV J. OLLING. "IN-PROCESS MODEL GENERATION FOR THE PROCESS PLANNING OF A PRISMATIC PART." Journal of Advanced Manufacturing Systems 02, no. 02 (2003): 147–62. http://dx.doi.org/10.1142/s0219686703000290.

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It is very essential to have 3D geometry of In-Process Models (IPMs) for the integration of various activities related to process planning. The accuracy of IPMs is not critical at the initial process planning stage but it becomes very important for the detailed process planning stage since inaccurate IPMs may result in costly mistakes. This paper proposes a procedure to generate accurate IPMs for the detailed process planning of a prismatic part. We transform the IPM generation problem into well-known 2D geometric problems, and use 2D geometric algorithms (2D curve offset, Voronoi diagram and

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8

Arnao, A. A., A. Albanese, G. Caristi, and A. Puglisi. "GEOMETRIC PROBABILITY PROBLEMS FOR OPTIMIZATION PROCESS." Far East Journal of Mathematical Sciences (FJMS) 131, no. 2 (2021): 113–21. http://dx.doi.org/10.17654/ms131020113.

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9

Kanišauskas, Vaidotas, and Karolina Piaseckienė. "Prediction of the Geometric Renewal Process." Lietuvos statistikos darbai 56, no. 1 (2017): 72–76. http://dx.doi.org/10.15388/ljs.2017.13673.

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The first part of the paper presents major concepts and theoretical statements on prediction of processes. The second part presents the obtained results on the geometric renewal process by indicating its distribution which has a binomial distribution and is a process with independent and stationary increments. Further, having applied the theory introduced in the first part to the geometric renewal process, the sufficient and unbiased prediction with the minimum-variance has been found.

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10

刘, 沁宇. "The Properties of Geometric Stable Process." Advances in Applied Mathematics 07, no. 01 (2018): 1–6. http://dx.doi.org/10.12677/aam.2018.71001.

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11

Álvarez, Jesús, and Carlos Fernández. "Geometric estimation of nonlinear process systems." Journal of Process Control 19, no. 2 (2009): 247–60. http://dx.doi.org/10.1016/j.jprocont.2008.04.017.

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12

Dabbour, Loai M. "Geometric proportions: The underlying structure of design process for Islamic geometric patterns." Frontiers of Architectural Research 1, no. 4 (2012): 380–91. http://dx.doi.org/10.1016/j.foar.2012.08.005.

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13

Huang, Wen-Jang, Shun-Hwa Li, and Jyh-Cherng Su. "Some characterizations of the Poisson process and geometric renewal process." Journal of Applied Probability 30, no. 1 (1993): 121–30. http://dx.doi.org/10.2307/3214626.

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Let γ t and δ t denote the residual life at t and current life at t, respectively, of a renewal process , with the sequence of interarrival times. We prove that, given a function G, under mild conditions, as long as holds for a single positive integer n, then is a Poisson process. On the other hand, for a delayed renewal process with the residual life at t, we find that for some fixed positive integer n, if is independent of t, then is an arbitrarily delayed Poisson process. We also give some corresponding results about characterizing the common distribution function F of the interarrival time

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14

Huang, Wen-Jang, Shun-Hwa Li, and Jyh-Cherng Su. "Some characterizations of the Poisson process and geometric renewal process." Journal of Applied Probability 30, no. 01 (1993): 121–30. http://dx.doi.org/10.1017/s0021900200044041.

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Let γ t and δ t denote the residual life at t and current life at t, respectively, of a renewal process , with the sequence of interarrival times. We prove that, given a function G, under mild conditions, as long as holds for a single positive integer n, then is a Poisson process. On the other hand, for a delayed renewal process with the residual life at t, we find that for some fixed positive integer n, if is independent of t, then is an arbitrarily delayed Poisson process. We also give some corresponding results about characterizing the common distribution function F of the interarrival time

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15

Pradana, Lingga Nico, and Octarina Hidayatus Sholikhah. "Connecting Spatial Reasoning Process to Geometric Problem." Profesi Pendidikan Dasar 8, no. 2 (2021): 121–29. http://dx.doi.org/10.23917/ppd.v8i2.16132.

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The field of spatial reasoning has seen a lot of research. The process of spatial reasoning, on the other hand, needs to be investigated further. The goal of this study is to capture an elementary school student's spatial reasoning process when solving geometric problems. The spatial skills used in solving geometric problems were also identified in this study. A geometric test was given to seventeen elementary school students. Three participants were chosen as the study's subjects based on their written responses. According to the findings, the subject's spatial reasoning process always begins

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16

SUNDARAM, R. MEENAKSHI, and TA JEN CHENG. "Microcomputer-based process planning using geometric programming." International Journal of Production Research 24, no. 1 (1986): 119–27. http://dx.doi.org/10.1080/00207548608919717.

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17

乔, 元新. "Geometric Phase in an Imaginary Photon Process." Modern Physics 07, no. 04 (2017): 148–54. http://dx.doi.org/10.12677/mp.2017.74016.

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18

Yeh Lam. "A Geometric Process $\delta$-Shock Maintenance Model." IEEE Transactions on Reliability 58, no. 2 (2009): 389–96. http://dx.doi.org/10.1109/tr.2009.2020261.

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19

Alvarez, Jesus, Teresa Lopez, and Eduardo Hernandez. "Robust Geometric Nonlinear Control of Process Systems." IFAC Proceedings Volumes 33, no. 10 (2000): 395–400. http://dx.doi.org/10.1016/s1474-6670(17)38572-5.

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20

Martens, Wolfram, Yannick Poffet, Pablo Ramon Soria, Robert Fitch, and Salah Sukkarieh. "Geometric Priors for Gaussian Process Implicit Surfaces." IEEE Robotics and Automation Letters 2, no. 2 (2017): 373–80. http://dx.doi.org/10.1109/lra.2016.2631260.

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21

Lee, Oesook, and Dong Wan Shin. "On geometric ergodicity of the MTAR process." Statistics & Probability Letters 48, no. 3 (2000): 229–37. http://dx.doi.org/10.1016/s0167-7152(99)00208-4.

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22

Arnold, Barry C. "A logistic process constructed using geometric minimization." Statistics & Probability Letters 7, no. 3 (1988): 253–57. http://dx.doi.org/10.1016/0167-7152(88)90059-4.

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23

WATANABE, Shun. "REPRESENTING GEOMETRIC KNOWLEDGE IN ARCHITECTURAL DESIGN PROCESS." Journal of Architecture and Planning (Transactions of AIJ) 62, no. 496 (1997): 263–68. http://dx.doi.org/10.3130/aija.62.263_2.

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24

Wu, Shaomin, and Guanjun Wang. "The semi-geometric process and some properties." IMA Journal of Management Mathematics 29, no. 2 (2017): 229–45. http://dx.doi.org/10.1093/imaman/dpx002.

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25

Aditya Narayan, G., SRP Rao Nalluri, and B. Gurumoorthy. "Feature-based geometric reasoning for process planning." Sadhana 22, no. 2 (1997): 217–40. http://dx.doi.org/10.1007/bf02744490.

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26

Chan, Jennifer S. K., Philip L. H. Yu, Yeh Lam, and Alvin P. K. Ho. "Modelling SARS data using threshold geometric process." Statistics in Medicine 25, no. 11 (2006): 1826–39. http://dx.doi.org/10.1002/sim.2376.

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27

Moskanova, Olga. "Geometric recurrence of inhomogeneous Gaussian autoregression process." Bulletin of Taras Shevchenko National University of Kyiv. Series: Physics and Mathematics, no. 1 (2023): 101–5. http://dx.doi.org/10.17721/1812-5409.2023/1.14.

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In this paper we study Gaussian autoregression model of the form X_{n+1} = α_{n+1} X_n + W_{n+1}. It has time-inhomogeneous centered normal increments W_n and control ratios α_n. We obtained upper bounds for expectation of exponential return time to the compact [−c; c] and for expectation of the function of compressing ratios and the mentioned moment.

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28

ANAMOVA, Rushana R., and Lidiya G. NARTOVA. "GEOMETRIC SPATIAL ABILITY AS AN ELEMENT OF COGNITIVE LEARNING PROCESS." Periódico Tchê Química 16, no. 32 (2019): 542–50. http://dx.doi.org/10.52571/ptq.v16.n32.2019.560_periodico32_pgs_542_550.pdf.

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University professors more and more often face serious problems of learning geometry and graphic disciplines. In this regard, it is very relevant to obtain a maximum efficient method to teach geometry and graphic disciplines. The purpose of the study is to test the hypothesis that the cause of problems arising in the process of mastering the geometric and graphic disciplines is the violation of continuity of the educational material and the low level of spatial ability of students. In the research, interviewing method (testing) and statistic method have been applied to process the results. It

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29

Arnold, Richard, Stefanka Chukova, Yu Hayakawa, and Sarah Marshall. "Warranty cost analysis with an alternating geometric process." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 233, no. 4 (2019): 698–715. http://dx.doi.org/10.1177/1748006x18820379.

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In this study, we model the warranty claims process and evaluate the warranty servicing costs under non-renewing, renewing and restricted renewing free repair warranties. We assume that the repair time for rectifying the claims is non-zero and the repair cost is a function of the length of the repair time. To accommodate the ageing of the product and repair equipment, we use a decreasing geometric process to model the consecutive operational times and an increasing geometric process to model the consecutive repair times. We identify and study the alternating geometric process, which is an alte

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30

qizi, Xolmurodova Nilufar Bobomurod. "METHODS OF CHECKING STUDENTS' KNOWLEDGE, SKILLS, AND ABILITIES IN THE PROCESS OF TEACHING GEOMETRICAL MATERIALS." American Journal of Philological Sciences 4, no. 6 (2024): 27–31. http://dx.doi.org/10.37547/ajps/volume04issue06-06.

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In this article, the method of monitoring the student's knowledge and skills in the process of studying geometric materials, the pedagogical and psychological basis of controlling the student's knowledge, the student's knowledge, skills, and competencies in the process of teaching geometric materials in the cross-section of classes. control methods are covered.

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31

QIAO, Lihong. "Geometric Enhanced Ontology Modeling for Assembly Process Planning." Journal of Mechanical Engineering 51, no. 22 (2015): 202. http://dx.doi.org/10.3901/jme.2015.22.202.

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32

Lekshmi, V. Seetha, and K. K. Jose. "A Subordinated Process with Geometric Exponential Operational Time." Calcutta Statistical Association Bulletin 51, no. 3-4 (2001): 273–76. http://dx.doi.org/10.1177/0008068320010311.

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33

Peng, Bin. "Pricing Geometric Asian Options under the CEV Process." International Economic Journal 20, no. 4 (2006): 515–22. http://dx.doi.org/10.1080/10168730500515316.

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34

Lafarge, Florent, Georgy Gimel'farb, and Xavier Descombes. "Geometric Feature Extraction by a Multimarked Point Process." IEEE Transactions on Pattern Analysis and Machine Intelligence 32, no. 9 (2010): 1597–609. http://dx.doi.org/10.1109/tpami.2009.152.

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35

Jokiel-Rokita, Alicja, and Rafał Topolnicki. "Estimation of the ratio of a geometric process." Applicationes Mathematicae 44, no. 1 (2017): 105–21. http://dx.doi.org/10.4064/am2316-12-2016.

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36

Lam, Yeh. "A geometric process maintenance model and optimal policy." Journal of Quality in Maintenance Engineering 19, no. 1 (2013): 50–60. http://dx.doi.org/10.1108/13552511311304474.

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37

WEI, YUI, and PIUS J. EGBELU. "Process alternative generation from product geometric design data." IIE Transactions 32, no. 1 (2000): 71–82. http://dx.doi.org/10.1080/07408170008963880.

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38

Kim, Yong Se, Youngjin Kim, Frederic Pariente, and Eric Wang. "Geometric reasoning for mill-turn machining process planning." Computers & Industrial Engineering 33, no. 3-4 (1997): 501–4. http://dx.doi.org/10.1016/s0360-8352(97)00178-2.

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39

Chen, Jianwei, Kim-Hung Li, and Yeh Lam. "Bayesian computation for geometric process in maintenance problems." Mathematics and Computers in Simulation 81, no. 4 (2010): 771–81. http://dx.doi.org/10.1016/j.matcom.2010.06.004.

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40

Ahsan, Nazmul, Ahasan Habib, and Bashir Khoda. "Geometric Analysis for Concurrent Process Optimization of AM." Procedia Manufacturing 5 (2016): 974–88. http://dx.doi.org/10.1016/j.promfg.2016.08.085.

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41

Joshi, Anay, and Sam Anand. "Geometric Complexity Based Process Selection for Hybrid Manufacturing." Procedia Manufacturing 10 (2017): 578–89. http://dx.doi.org/10.1016/j.promfg.2017.07.056.

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42

Lam, Yeh. "A geometric process maintenance model with preventive repair." European Journal of Operational Research 182, no. 2 (2007): 806–19. http://dx.doi.org/10.1016/j.ejor.2006.08.054.

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43

Gao, Tingran, Shahar Z. Kovalsky, Doug M. Boyer, and Ingrid Daubechies. "Gaussian Process Landmarking for Three-Dimensional Geometric Morphometrics." SIAM Journal on Mathematics of Data Science 1, no. 1 (2019): 237–67. http://dx.doi.org/10.1137/18m1203481.

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44

Solo, Victor, and Syed Ahmed Pasha. "Point-Process Principal Components Analysis via Geometric Optimization." Neural Computation 25, no. 1 (2013): 101–22. http://dx.doi.org/10.1162/neco_a_00382.

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There has been a fast-growing demand for analysis tools for multivariate point-process data driven by work in neural coding and, more recently, high-frequency finance. Here we develop a true or exact (as opposed to one based on time binning) principal components analysis for preliminary processing of multivariate point processes. We provide a maximum likelihood estimator, an algorithm for maximization involving steepest ascent on two Stiefel manifolds, and novel constrained asymptotic analysis. The method is illustrated with a simulation and compared with a binning approach.

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45

El-Mounayri, H., M. A. Elbestawi, A. D. Spence, and S. Bedi. "General geometric modelling approach for machining process simulation." International Journal of Advanced Manufacturing Technology 13, no. 4 (1997): 237–47. http://dx.doi.org/10.1007/bf01179605.

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46

Barbhuiya, F. P., Nitin Kumar, and U. C. Gupta. "Batch Renewal Arrival Process Subject to Geometric Catastrophes." Methodology and Computing in Applied Probability 21, no. 1 (2018): 69–83. http://dx.doi.org/10.1007/s11009-018-9643-2.

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47

Lekshmi, V. Seetha, та K. K. Jose. "An autoregressive process with geometric α-laplace marginals". Statistical Papers 45, № 3 (2004): 337–50. http://dx.doi.org/10.1007/bf02777576.

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48

Kravaris, Costas, and Jeffrey C. Kantor. "Geometric methods for nonlinear process control. 1. Background." Industrial & Engineering Chemistry Research 29, no. 12 (1990): 2295–310. http://dx.doi.org/10.1021/ie00108a001.

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49

Di Crescenzo, Antonio, and Franco Pellerey. "On prices' evolutions based on geometric telegrapher's process." Applied Stochastic Models in Business and Industry 18, no. 2 (2002): 171–84. http://dx.doi.org/10.1002/asmb.456.

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50

Borell, Christer. "Geometric bounds on the Ornstein-Uhlenbeck velocity process." Probability Theory and Related Fields 70, no. 1 (1985): 1–13. http://dx.doi.org/10.1007/bf00532234.

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