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Статті в журналах з теми "Model"

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Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 20 липня 2024

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1

Bieszk-Stolorz, Beata. "Hazard model versus logit model." Studia i Prace WNEiZ 45 (2016): 11–22. http://dx.doi.org/10.18276/sip.2016.45/2-01.

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2

Wierzbiński, Marcin. "Revenue Model in Designing Business Model." Zeszyty Naukowe Uniwersytetu Szczecińskiego Finanse Rynki Finansowe Ubezpieczenia 79 (2016): 851–68. http://dx.doi.org/10.18276/frfu.2016.79-67.

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3

Oh. "Low-Frequency Normal Mode Reverberation Model." Journal of the Acoustical Society of Korea 34, no. 3 (2015): 184. http://dx.doi.org/10.7776/ask.2015.34.3.184.

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4

Połowniak, Piotr, and Mariusz Sobolak. "Mathematical model of globoid worm for use of generating CAD model." Mechanik, no. 2 (February 2015): 145/31. http://dx.doi.org/10.17814/mechanik.2015.2.53.

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5

WILCZYNSKI, KRZYSZTOF. "A mathematical model of single-screw extrusion. Part X. Experimental verification of the model." Polimery 45, no. 03 (March 2000): 191–96. http://dx.doi.org/10.14314/polimery.2000.191.

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6

Jabłoński, Marek. "Open data business model: innovative aspects of designing of business." Studia i Prace WNEiZ 52 (2018): 41–51. http://dx.doi.org/10.18276/sip.2018.52/2-03.

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7

Makhan'kov, V. G., Yu P. Rybakov, and Valerii I. Sanyuk. "The Skyrme model and strong interactions (On the 30th anniversary of the creation of the Skyrme model)." Uspekhi Fizicheskih Nauk 162, no. 2 (1992): 1. http://dx.doi.org/10.3367/ufnr.0162.199202a.0001.

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8

Lim, Hee-Jeong, Young-Hee Lee, and Hyo-Jung Kwon. "Evaluation of Community Land Model version 3.5-Dynamic Global Vegetation Model over Deciduous Forest in Gwangneung, Korea." Korean Journal of Agricultural and Forest Meteorology 12, no. 2 (June 30, 2010): 95–106. http://dx.doi.org/10.5532/kjafm.2010.12.2.095.

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9

Lei, Y., and S. Y Zhang. "Comparison and selection of growth models using the Schnute model." Journal of Forest Science 52, No. 4 (January 9, 2012): 188–96. http://dx.doi.org/10.17221/4501-jfs.

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Анотація:

Forestmodellers have long faced the problem of selecting an appropriate mathematical model to describe tree ontogenetic or size-shape empirical relationships for tree species. A common practice is to develop many models (or a model pool) that include different functional forms, and then to select the most appropriate one for a given data set. However, this process may impose subjective restrictions on the functional form. In this process, little attention is paid to the features (e.g. asymptote and inflection point rather than asymptote and nonasymptote) of different functional forms, and to the intrinsic curve of a given data set. In order to find a better way of comparing and selecting the growth models, this paper describes and analyses the characteristics of the Schnute model. This model has both flexibility and versatility that have not been used in forestry. In this study, the Schnute model was applied to different data sets of selected forest species to determine their functional forms. The results indicate that the model shows some desirable properties for the examined data sets, and allows for discerning the different intrinsic curve shapes such as sigmoid, concave and other curve shapes. Since no suitable functional form for a given data set is usually known prior to the comparison of candidate models, it is recommended that the Schnute model be used as the first step to determine an appropriate functional form of the data set under investigation in order to avoid using a functional form a priori.

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10

Perrin, C., V. Andréassian, and C. Michel. "Simple benchmark models as a basis for model efficiency criteria." River Systems 17, no. 1-2 (July 28, 2006): 221–44. http://dx.doi.org/10.1127/lr/17/2006/221.

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11

Rothkopf, Ernst Z. "A Reader Model Models Model Readers." Contemporary Psychology: A Journal of Reviews 33, no. 6 (June 1988): 514–15. http://dx.doi.org/10.1037/025784.

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12

Stevanović-Čarapina, Hristina, Jasna Stepanov, and Dunja Prokić. "Model for evaluating municipal waste management system applying the LCA: Part II: Model verification." Reciklaza i odrzivi razvoj 12, no. 1 (2019): 53–60. http://dx.doi.org/10.5937/ror1901053c.

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13

Hunt, Robert W. G. "COLOUR APPEARANCE MODEL (HUNT MODEL)." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 78, Appendix (1994): 78–82. http://dx.doi.org/10.2150/jieij1980.78.appendix_78.

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14

Agarwal, Smita, S. Dixit, and Alok Aggarwal. "Model to Model Transformation for Declarative Models." International Journal of Computer Sciences and Engineering 6, no. 11 (November 30, 2018): 164–70. http://dx.doi.org/10.26438/ijcse/v6i11.164170.

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15

Y.P., Patil. "Discrete Adaptive Model Following Sliding Mode Control Design for Improved Performance." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (February 28, 2020): 557–69. http://dx.doi.org/10.5373/jardcs/v12sp3/20201293.

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16

Nayatani, Yoshinobu. "COLOR APPEARANCE MODEL (NAYATANT MODEL NEWLY REVISED)." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 78, Appendix (1994): 83–87. http://dx.doi.org/10.2150/jieij1980.78.appendix_83.

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17

Zhang, X., and Y. Lei. "A linkage among whole-stand model, individual-tree model and diameter-distribution model." Journal of Forest Science 56, No. 12 (December 17, 2010): 600–608. http://dx.doi.org/10.17221/102/2009-jfs.

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Анотація:

Stand growth and yield models include whole-stand models, individual-tree models and diameter-distribution models. In this study, the three models were linked by forecast combination and parameter recovery methods one after another. Individual-tree models combine with whole-stand models through forecast combination. Forecast combination method combines information from different models, disperses errors generated from different models, and then improves forecast accuracy. And then the forecast combination model was linked to diameter-distribution models via parameter recovery methods. During the moment estimation, two methods were used, arithmetic mean diameter and quadratic mean diameter method (A-Q method), and arithmetic mean diameter and diameter variance method (A-V method). Results showed that the forecast combination for predicting stand variables outperformed over the stand-level and tree-level models respectively; A-V method was superior to A-Q method on estimating Weibull parameters; these three different models could be linked very well via forecast combination and parameter recovery.

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18

Mishra, Dr Teena. "Diamond shape model Advanced model of Service triangle." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 2445–48. http://dx.doi.org/10.31142/ijtsrd12707.

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19

Bijlsma, S. J. "From explicit to implicit normal mode initialization of a limited-area model." Meteorologische Zeitschrift 22, no. 1 (February 1, 2013): 69–74. http://dx.doi.org/10.1127/0941-2948/2013/0306.

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20

Ladzani, Watson. "Benchmarking the South African Excellence Model against worldclass best practice business Excellence Models." Environmental Economics 7, no. 4 (December 9, 2016): 8–19. http://dx.doi.org/10.21511/ee.07(4).2016.01.

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Анотація:

This study benchmarks South African Excellence Model (SAEM) against selected similar models in developed economies. The primary research question is: Why are South African small and medium enterprises (SMEs) not performing well in comparison to similar businesses in developed economies? The objectives of the study are to compare SAEM against worldclass best practice business excellence models, measure and rate SMEs management performance criteria. Random sampling was used to select SMEs in the construction industry. The findings revealed SAEM as equally a good model as worldclass best practice models. Empirical results revealed low management performance scores in comparison with those of worldclass best practice. Recommendations included aggressive marketing of SAEM and introducing continuous performance management improvement strategies on poorly rated criteria. Keywords: benchmarking, business excellence models, developed economies, management performance, small and medium enterprises. JEL Classification: L26, O1, L25

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21

Li, Jiyun, Chenxi Jia, and Chen Qian. "Progressive Breast Cancer Diagnosis Model Based on Multi-classifier and Multi-modal Fusion." International Journal of Machine Learning and Computing 11, no. 6 (November 2021): 387–92. http://dx.doi.org/10.18178/ijmlc.2021.11.6.1066.

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22

Moraes, Marcelo Botelho da Costa, and Marcelo Seido Nagano. "Cash Management Policies By Evolutionary Models: A Comparison Using The MILLER-ORR Model." Journal of Information Systems and Technology Management 10, no. 3 (December 30, 2013): 561–76. http://dx.doi.org/10.4301/s1807-17752013000300006.

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23

Putri, Ayu Setiyo, Bambang Riadi, and Iswanti Wahyuni. "PENGEMBANGAN MODUL PEMBELAJARAN TEKS PROSEDUR BERBASIS MODEL DISCOVERY LEARNING DI SMP KELAS VII." Jurnal Kata : Bahasa, Sastra, dan Pembelajarannya 10, no. 1 (2022): 21–32. http://dx.doi.org/10.23960/kata.v10.i1.202203.

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Анотація:

This research was This research aims to produce, develop, and describe the feasibility of teaching material product in the form of discovery learning-based procedure text learning module in SMP class VII. This research used the Research and Development (R&D) method by Borg and Gall. The product research results in the form of modules which consists of four modules containing learning materials, learning activities, practice questions, summaries, and formative tests. Each module has learning activities by implementing the steps in the discovery learning model, namely providing stimulation, identifying problems, collecting data, processing data, verifying data, and drawing conclusions. The module feasibility test was carried out by material expert and educator of Indonesian subject. The results of the validation test by material expert obtained an average percentage of 81.25% in very feasible category. The results of validation by Indonesian language educator obtained an average percentage of 82.5% in very feasible category.

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24

Cho Young-Tae. "The Alternative Models for Tylerian Model of Curriculum Development:Walker's Model and Stenhouse's Model." Journal of Curriculum Studies 26, no. 1 (March 2008): 1–26. http://dx.doi.org/10.15708/kscs.26.1.200803.001.

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25

Basarić, Valentina, and Jadranka Jović. "TARGET MODAL SPLIT MODEL." TRANSPORT 26, no. 4 (January 9, 2012): 418–24. http://dx.doi.org/10.3846/16484142.2011.644044.

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Анотація:

The research presented in this paper is aimed at defining a model that enables the management of the relationship between private vehicles and public transport applying the available instruments of city transport policy such as parking policy and public transport policy measures. Statistical data used for modelling is sourced from the database in a wide range of EU cities. The target model was developed in the form of stepwise regression analysis. Very favourable statistical results were obtained, and the subsequent tests on the city of Novi Sad (250000 inhabitants) led to the conclusion that the obtained results were suitable for implementation in practice. The results of the implemented procedure are of great importance for the enhancement of the existing transport policies in cities, as they enable the development of strategies for finding combinations of instruments that would bring the transport system and urban environment into a desired-viable rather than consequential condition.

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26

Bredehoeft, John. "Models and Model Analysis." Ground Water 48, no. 3 (September 15, 2009): 328. http://dx.doi.org/10.1111/j.1745-6584.2009.00631.x.

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27

Chacón, José E. "Mixture model modal clustering." Advances in Data Analysis and Classification 13, no. 2 (January 13, 2018): 379–404. http://dx.doi.org/10.1007/s11634-018-0308-3.

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28

Rotgé, Wilfrid. "Model/Models in linguistics." ASp, no. 35-36 (December 1, 2002): 5–22. http://dx.doi.org/10.4000/asp.1574.

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29

Jung, Do-sub. "Black-Scholes 옵션 모형의 Model Risk에 관한 시뮬레이션 분석". Journal of CEO and Management Studies 25, № 3 (31 жовтня 2022): 113–30. http://dx.doi.org/10.37674/ceoms.25.3.6.

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30

Meade, Nigel, and Towhidul Islam. "Technological Forecasting—Model Selection, Model Stability, and Combining Models." Management Science 44, no. 8 (August 1998): 1115–30. http://dx.doi.org/10.1287/mnsc.44.8.1115.

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31

Rifki Taufik, Muhammad, Dwi Lestari, and Tri Wijayanti Septiarini. "Mathematical Model for Vaccinated Tuberculosis Disease with VEIT Model." International Journal of Modeling and Optimization 5, no. 3 (June 2015): 192–97. http://dx.doi.org/10.7763/ijmo.2015.v5.460.

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32

Srivastava, Rishika. "Research of Contrast between Waterfall Model and Prototype Model." International Journal of Science and Research (IJSR) 12, no. 5 (May 5, 2023): 601–5. http://dx.doi.org/10.21275/sr23505215516.

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33

Ikushima, Kazuki, Takahiro Yano, Ryohei Natsume, Masakazu Shibahara, and Mitsuru Ohata. "Study on fracture mode of spot weld joint using continuum damage mechanics model." QUARTERLY JOURNAL OF THE JAPAN WELDING SOCIETY 35, no. 2 (2017): 28s—32s. http://dx.doi.org/10.2207/qjjws.35.28s.

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34

Tomohara, Akinori, and Akihiko Ohno. "What are Relevant Work Incentive Models? Shirking Model, Gift Exchange Model, or Reciprocity Model." Journal of Labor Research 34, no. 2 (April 9, 2013): 241–52. http://dx.doi.org/10.1007/s12122-013-9159-z.

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35

Royse, Katherine R., Holger Kessler, Nicholas S. Robins, Andrew G. Hughes, and Stephen J. Mathers. "The use of 3D geological models in the development of the conceptual groundwater model." Zeitschrift der Deutschen Gesellschaft für Geowissenschaften 161, no. 2 (June 1, 2010): 237–49. http://dx.doi.org/10.1127/1860-1804/2010/0161-0237.

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36

John, Siju, and S. N. Kumar. "6D Hyperchaotic Encryption Model for Ensuring Security to 3D Printed Models and Medical Images." Journal of Image and Graphics 12, no. 2 (2024): 117–26. http://dx.doi.org/10.18178/joig.12.2.117-126.

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Анотація:

In the 6G era, where ultra-fast and reliable communication is expected to be ubiquitous, encryption shall continue to play a crucial role in ensuring the security and privacy of data. Encryption and decryption of medical images and 3D printed models using 6D hyperchaotic function is proposed in this research work for ensuring security in data transfer. Here we envisage using a six-dimensional hyperchaotic system for encryption purposes which shall offer a high level of security due to its complex and unpredictable dynamics with multiple positive Lyapunov exponents. This system can potentially enhance the encryption process for 3D objects and medical images, ensuring the protection of sensitive data and preventing unauthorized access. A hyperchaotic system is a type of dynamical system characterized by exhibiting more than one positive Lyapunov exponent, which indicates strong sensitivity to initial conditions. These systems have more degrees of freedom and complex and intricate dynamics compared to standard chaotic systems. The security of the encryption scheme depends on the complexity of the hyperchaotic system and the randomness of the secret key. The parameters of a 6D hyperchaotic system shall be used as an encryption key with six dimensions, each with its range of values, and shall provide many possible keys. In this work, we implemented a 6D hyperchaotic system for the encryption of the 3D printed model and medical images. The performance evaluation was done by metrics entropy, correlation, Number of Pixels Change Rate (NPCR), and Unified Averaged Changed Intensity (UACI) which revealed the robustness of the encryption model in ensuring security. Hyperchaotic systems can be efficiently implemented in parallel computing architectures, which allow faster encryption and decryption processes.

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37

Wyckaert, Katrien, Fülöp Augusztinovicz, and Paul Sas. "Vibro‐acoustical modal analysis: Reciprocity, model symmetry, and model validity." Journal of the Acoustical Society of America 100, no. 5 (November 1996): 3172–81. http://dx.doi.org/10.1121/1.417127.

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38

Kannan, K. Senthamarai, and E. Sakthivel E. Sakthivel. "Fuzzy Time Series Model and ARIMA Model - A Comparative Study." Indian Journal of Applied Research 4, no. 8 (October 1, 2011): 624–36. http://dx.doi.org/10.15373/2249555x/august2014/166.

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39

Azis, Abdul, Radite Praeko Agus Setiawan, Wawan Hermawan, and Tineke Mandang. "PID Tuning Using Internal Model Controller with Tustin Model Approach." Jurnal Keteknikan Pertanian 6, no. 1 (April 1, 2018): 1–8. http://dx.doi.org/10.19028/jtep.06.1.45-52.

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40

Azis, Abdul, Radite Praeko Agus Setiawan, Wawan Hermawan, and Tineke Mandang. "PID Tuning Using Internal Model Controller with Tustin Model Approach." Jurnal Keteknikan Pertanian 6, no. 1 (April 1, 2018): 47–54. http://dx.doi.org/10.19028/jtep.06.1.47-54.

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41

Hu, Haimin, Yican Wu, Mingliang Chen, Shanliang Zheng, Qin Zeng, Aiping Ding, Ying Li, and FDS Team. "ICONE15-10526 AUTOMATIC CONVERSION OF CAD MODEL INTO NEUTRONICS MODEL." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2007.15 (2007): _ICONE1510. http://dx.doi.org/10.1299/jsmeicone.2007.15._icone1510_281.

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42

Słyk, Jan. "MODEL OF THE CITY." Space&FORM 2020, no. 50 (June 30, 2022): 55–63. http://dx.doi.org/10.21005/pif.2022.50.a-03.

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Анотація:

The design and development of cities is the most complicated phenomenon in the domain of shaping space. It is the result of planned human activities related to land parcellation, building infrastructure, establishing safety rules, creating a friendly scale and aesthetics of public spaces. It is also the result of spontaneous processes that take place without strict control. It is influenced by economy, demography, environmental factors, as well as wars, conflicts, and competition between entities. In architecture, it is possible to build knowledge and competences by performing tests on a 1:1 scale. Although expensive and difficult, it sometimes brings the desired results and opens the perspective to new design techniques. In urban planning, the subject of creative activities is too complex to test final solutions. The time from design to implementation is too long to use your own experience even indirectly. The only way to test urban ideas in the conceptual phase is to create models. Both geometric and social features could be represented. The most perfect contemporary models attempt to comprise many processes of city functioning, including spontaneous activities conditioned by external and internal factors.

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43

Xiao Yueyu, 肖悦娱, 汤莹 Tang Ying та 朱朝晖 Zhu Zhaohui. "轨道角动量模间干涉的少模光纤温度传感研究". Laser & Optoelectronics Progress 58, № 9 (2021): 0906003. http://dx.doi.org/10.3788/lop202158.0906003.

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44

KIM JEONG-NAE. "An Analysis on Three Models of Curriculum Theory – Objective Model, Content Model, Meta - praxis Model –." Journal of Education & Culture 22, no. 4 (August 2016): 25–50. http://dx.doi.org/10.24159/joec.2016.22.4.25.

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45

Stevanović-Čarapina, Hristina, Jasna Stepanov, and Dunja Prokić. "Model for evaluating municipal waste management system applying the LCA: Part I: Review of LCA Software." Reciklaza i odrzivi razvoj 12, no. 1 (2019): 43–51. http://dx.doi.org/10.5937/ror1901043c.

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46

Kubáček, Lubomír. "Multistage regression model." Applications of Mathematics 31, no. 2 (1986): 89–96. http://dx.doi.org/10.21136/am.1986.104189.

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47

Rajković-Borisavljević, Jelena, and Milinko Veličković. "Canvas business model." Serbian Journal of Engineering Management 4, no. 1 (2019): 53–59. http://dx.doi.org/10.5937/sjem1901053r.

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48

Danielsson, Jon, Kevin James, Marcela Valenzuela, and Ilknur Zer. "Model Risk of Risk Models." Finance and Economics Discussion Series 2014, no. 034r (July 2014): 1–34. http://dx.doi.org/10.17016/feds.2014.034r.

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49

Danielsson, Jon, Kevin James, Marcela Valenzuela, and Ilknur Zer. "Model Risk of Risk Models." Finance and Economics Discussion Series 2014, no. 34 (April 2014): 1–32. http://dx.doi.org/10.17016/feds.2014.34.

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50

Ayache, Elie. "God's Model vs. Market Models." Wilmott 2021, no. 115 (September 2021): 34–47. http://dx.doi.org/10.1002/wilm.10955.

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