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Journal articles on the topic 'Adaptive Material'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Sons, Kristian, Felix Klein, Jan Sutter, and Philipp Slusallek. "shade.js: Adaptive Material Descriptions." Computer Graphics Forum 33, no. 7 (October 2014): 51–60. http://dx.doi.org/10.1111/cgf.12473.

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2

Faraj, Noura, Jean-Marc Thiery, and Tamy Boubekeur. "Multi-material adaptive volume remesher." Computers & Graphics 58 (August 2016): 150–60. http://dx.doi.org/10.1016/j.cag.2016.05.019.

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3

Gao, Ming, Andre Pradhana Tampubolon, Chenfanfu Jiang, and Eftychios Sifakis. "An adaptive generalized interpolation material point method for simulating elastoplastic materials." ACM Transactions on Graphics 36, no. 6 (November 20, 2017): 1–12. http://dx.doi.org/10.1145/3130800.3130879.

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4

Gonuguntla, Spandhana, Wei Chun Lim, Fong Yew Leong, Chi Kit Ao, Changhui Liu, and Siowling Soh. "Performing calculus: Asymmetric adaptive stimuli-responsive material for derivative control." Science Advances 7, no. 14 (March 2021): eabe5698. http://dx.doi.org/10.1126/sciadv.abe5698.

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Materials (e.g., brick or wood) are generally perceived as unintelligent. Even the highly researched “smart” materials are only capable of extremely primitive analytical functions (e.g., simple logical operations). Here, a material is shown to have the ability to perform (i.e., without a computer), an advanced mathematical operation in calculus: the temporal derivative. It consists of a stimuli-responsive material coated asymmetrically with an adaptive impermeable layer. Its ability to analyze the derivative is shown by experiments, numerical modeling, and theory (i.e., scaling between derivative and response). This class of freestanding stimuli-responsive materials is demonstrated to serve effectively as a derivative controller for controlled delivery and self-regulation. Its fast response realizes the same designed functionality and efficiency as complex industrial derivative controllers widely used in manufacturing. These results illustrate the possibility to associate specifically designed materials directly with higher concepts of mathematics for the development of “intelligent” material-based systems.

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5

Scott, R. C., and T. A. Weisshaar. "Panel flutter suppression using adaptive material actuators." Journal of Aircraft 31, no. 1 (January 1994): 213–22. http://dx.doi.org/10.2514/3.46476.

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6

Li, Jia, Junjie Zhang, Fansheng Chen, Kai Zhao, and Dan Zeng. "Adaptive Material Matching for Hyperspectral Imagery Destriping." IEEE Transactions on Geoscience and Remote Sensing 60 (2022): 1–20. http://dx.doi.org/10.1109/tgrs.2022.3158901.

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7

Yalcintas, Melek, and John P. Coulter. "Electrorheological material based non-homogeneous adaptive beams." Smart Materials and Structures 7, no. 1 (February 1, 1998): 128–43. http://dx.doi.org/10.1088/0964-1726/7/1/015.

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8

Rider, W. J., E. Love, M. K. Wong, O. E. Strack, S. V. Petney, and D. A. Labreche. "Adaptive methods for multi-material ALE hydrodynamics." International Journal for Numerical Methods in Fluids 65, no. 11-12 (August 27, 2010): 1325–37. http://dx.doi.org/10.1002/fld.2365.

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9

Šedlbauer, David. "Adaptive Boundaries of Wang Tiles for Heterogeneous Material Modelling." Advanced Materials Research 1144 (March 2017): 159–66. http://dx.doi.org/10.4028/www.scientific.net/amr.1144.159.

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This contribution deals with algorithms for the generation of modified Wang tiles as a tool for the heterogeneous materials modelling. The proposed approach considers material domains only with 2D hard discs of both equal and different radii distributed within a matrix. Previous works showed potential of the Wang tile principles for reconstruction of heterogeneous materials. The main advantage of the tiling theory for material modelling is to stack large/infinite areas with relative small set of tiles with emphasis on a periodicity reduction in comparison with the traditional Periodic Unit Cell (PUC) concept. The basic units of the Wang Tiling are tiles with codes (colors) on edges. The algorithm for distribution of hard discs is based on the molecular dynamics to avoid particles overlapping. Unfortunately the nature of the Wang tiling together with molecular dynamics algorithms cause periodicity artefacts especially in tile corners of a composed material domain. In this paper a new algorithm with adaptive tile boundaries is presented in order to avoid edge and corner periodicity.

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10

Shang, Jinqiu. "Application of Adaptive Genetic Algorithm in Optimal Scheduling of Aviation Materials." Journal of Applied Mathematics 2022 (November 17, 2022): 1–11. http://dx.doi.org/10.1155/2022/1467935.

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The maintenance and logistics support of aircraft are critical to the flight safety. The configuration and scheduling of air materials are the basis of maintenance and logistics. This research establishes the model of air material scheduling problem and introduces NSGA-II genetic algorithm with adaptive design to optimize the air material scheduling arrangement. This adaptive design improves the local optimal solution problem of NSGA-II and makes the optimal scheduling of air materials more accurate. In some cases, the improved NSGA-II algorithm is expressed to zero deviation, which is not achieved by other traditional algorithms. The results of this research provide a solution with practical potential for aircraft material scheduling problem, which is significantly superior to traditional methods.

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11

Zhou, Xue, and Guoqiang Xu. "Self-adaptive field manipulation with thermal logic material." International Journal of Heat and Mass Transfer 172 (June 2021): 121147. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2021.121147.

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12

Tkachenko, Alexei V., and Thomas A. Witten. "Stress in frictionless granular material: Adaptive network simulations." Physical Review E 62, no. 2 (August 1, 2000): 2510–16. http://dx.doi.org/10.1103/physreve.62.2510.

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13

Banerjee, Shiladitya, Margaret L. Gardel, and Ulrich S. Schwarz. "The Actin Cytoskeleton as an Active Adaptive Material." Annual Review of Condensed Matter Physics 11, no. 1 (March 10, 2020): 421–39. http://dx.doi.org/10.1146/annurev-conmatphys-031218-013231.

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Actin is the main protein used by biological cells to adapt their structure and mechanics to their needs. Cellular adaptation is made possible by molecular processes that strongly depend on mechanics. The actin cytoskeleton is also an active material that continuously consumes energy. This allows for dynamical processes that are possible only out of equilibrium and opens up the possibility for multiple layers of control that have evolved around this single protein. Here we discuss the actin cytoskeleton from the viewpoint of physics as an active adaptive material that can build structures superior to man-made soft matter systems. Not only can actin be used to build different network architectures on demand and in an adaptive manner, but it also exhibits the dynamical properties of feedback systems, like excitability, bistability, or oscillations. Therefore, it is a prime example of how biology couples physical structure and information flow and a role model for biology-inspired metamaterials.

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14

Tanaka, Masao, Masahiro Todoh, Kazushige Oki, and Akihisa Naomi. "Material Structure Design of Stress-Dependent Adaptive Stiffness." Journal of Intelligent Material Systems and Structures 12, no. 4 (April 2001): 229–34. http://dx.doi.org/10.1106/7vqp-0wcl-efvt-q7fd.

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15

Eggimann, M. A., and R. Longchamp. "Bounded Adaptive Multivariable Control of Cement Raw Material." IFAC Proceedings Volumes 23, no. 8 (August 1990): 165–70. http://dx.doi.org/10.1016/s1474-6670(17)51413-5.

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16

Yalcintas, Melek, and John P. Coulter. "Analytical Modeling of Electrorheological Material Based Adaptive Beams." Journal of Intelligent Material Systems and Structures 6, no. 4 (July 1995): 488–97. http://dx.doi.org/10.1177/1045389x9500600406.

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17

Khandelwal, S., T. Siegmund, R. J. Cipra, and J. S. Bolton. "Adaptive mechanical properties of topologically interlocking material systems." Smart Materials and Structures 24, no. 4 (March 10, 2015): 045037. http://dx.doi.org/10.1088/0964-1726/24/4/045037.

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18

Gawrylczyk, Konstanty M., and Piotr Putek. "Adaptive meshing algorithm for recognition of material cracks." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 23, no. 3 (September 2004): 677–84. http://dx.doi.org/10.1108/03321640410540593.

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19

Zimmermann, Dominik, and Christian Miehe. "Material-Force-Based Refinement Indicators in Adaptive Strategies." PAMM 6, no. 1 (December 2006): 421–22. http://dx.doi.org/10.1002/pamm.200610191.

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20

Stephanie, Chaltiel, Bravo Maite, and Ibrahim Abdullah. "Adaptive Strategies for Mud Shell Robotic Fabrication." International Journal of Environmental Science & Sustainable Development 3, no. 2 (December 31, 2018): 64. http://dx.doi.org/10.21625/essd.v3iss2.382.

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The digital fabrication of monolithic shell structures is presenting some challenges related to the interface between computational design, materialist, and fabrication techniques. This research proposes a singular method for the sequential robotic spray deposition in layers of diverse clay mixes over a temporary fabric form-work pulled in between peripheral and cross section arches. This process relies mainly on the continuity of the construction phases for stability and durability but has encountered some challenges in physical tests related to sagging, displacement, and deformations during the robotic deposition of the material. Adaptive strategies during the digital fabrication stages are proposed for a sequential exploration of the geometry, structural analysis, and construction techniques. Alternative adjustments of protocols for the robotic material deposition include both predictable and unsuspected behaviors preventing the structure to reach non-viable geometric thresholds. Two case studies of physical tests describe, analyze, and simulate some of these strategies and identify specific parameters inquiring the sequential adjustments of the robotic material deposition. These strategies will drive future full-scale tests within a sustainable use of materials and adaptive construction methods, seeking an optimized structural performance that could open a new chapter for the digital fabrication of earthen shells.

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21

Zhou, Yu Yu, Yun Qing Rao, Guo Jun Zhang, and Chao Yong Zhang. "An Adaptive Memetic Algorithm for Packing Problems of Irregular Shapes." Advanced Materials Research 314-316 (August 2011): 1029–33. http://dx.doi.org/10.4028/www.scientific.net/amr.314-316.1029.

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Packing problem, which occurs frequently in sheet metal, clothing and furniture industry, cut product patterns from raw materials most efficiently and maximize material utilization. In this paper, an adaptive memetic algorithm is proposed to solve the problem of irregular shapes packed on the rectangular sheets. First, operators and parameters of evolution is researched, and second, local search method is proposed. Finally, this study compares benchmarks presented by other authors. The results show that the material utilization efficiency by using the adaptive memetic algorithm is higher compared to other methods.

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22

Pérez, G., V. Serra, S. Garshasbi, F. Favoino, P. Sirvent, K. W. Shah, P. La Roche, I. Galán, and M. Santamouris. "Innovative approaches to thermochromic materials for adaptive building envelopes." Journal of Physics: Conference Series 2069, no. 1 (November 1, 2021): 012132. http://dx.doi.org/10.1088/1742-6596/2069/1/012132.

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Abstract Thermochromic (TC) materials are characterized by a change of their optical response at a specific temperature. They can work based on both, the alteration of solar reflection by temperature, or the change of photoluminescence intensity. In building applications, this type of smart materials enhances the rejection of solar heat for high temperatures to favour cooling of the envelopes and reduces this rejection for low temperatures to improve surface heating. This adaptive optical response improves energy efficiency and reduces environmental impact of urban areas. Most of the current advances in this area are related to TC glazing based on Vanadium oxide, while opaque TC materials have been developed as based on Leuco dyes. The main drawback of these last materials is their significant aging in outdoor applications due to a photo-degradation process. The present work shows the recent results of a multidisciplinary and multinational consortium for research on innovative approaches to thermochromic materials for adaptive building envelopes. Next steps will be focused on building simulation to evaluate material choices across different performance aspects, while physical prototypes will be used for inter-laboratory evaluation of such performance and material durability.

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23

Hwang, Wu-Yuin, Rong-Luen Shiu, Shing-Ling Wu, and Chia-Chin Li. "An Exploration of Learning Ability Transition and Material Information." Journal of Educational Computing Research 26, no. 3 (April 2002): 301–25. http://dx.doi.org/10.2190/1w2t-xby9-9flr-hfpk.

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The asynchronous learning system is one of the great tools that have broken through the limits of time and space to make learning available to all people in the future. In order to provide adaptive learning material and environment, it is important for an asynchronous learning system to take the degree of difficulty in the teaching materials and learner's characteristics into account. Thus, this article will investigate the related characteristics of asynchronous material and propose a material characteristics model. This model investigates the relationship among the difficulty degree of material, students' interests, and their abilities. Furthermore, we will investigate the material information to comprehend thoroughly the suitability of the teaching materials to the learner. The material information is based on promoting learning ability. From the above results, an asynchronous learning system could provide adaptive material that is suitable for students with different learning abilities. Students could be counseled on reaching the anticipated learning goal using our model. The ability after learning could be calculated from the model to help the testing system to choose test items quickly and adaptively and make the asynchronous learning system more effective and complete.

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24

Suzuki, A., D. E. Hardt, and L. Valavani. "Application of Adaptive Control Theory to On-Line GTA Weld Geometry Regulation." Journal of Dynamic Systems, Measurement, and Control 113, no. 1 (March 1, 1991): 93–103. http://dx.doi.org/10.1115/1.2896365.

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This study addresses the uses of adaptive schemes for on-line control of backbead width in the Gas Tungsten Arc (GTA) welding process. Open-loop tests using a step input current confirm the validity of a nominal first order process model. However, the time constant and gain prove highly dependent upon welding conditions including torch speed, arc length, material thickness, and other material properties. Accordingly, a need exists for adaptive controllers that can compensate for these process nonlinearities. The performance of two adaptive controllers is evaluated: Narendra and Lin’s Model-Referenced Adaptive Control (MRAC/NL), and Self-Tuning Control with Pole Placement (STC/PP). The addition of a quadratic term to the adaption mechanisms of MRAC/NL is proposed and preliminary simulations and experiments clearly demonstrate the stabilizing effect of this added term. The main experiments compare the performance of the modified MRAC/NL controller and the STC/PP controller with each other and with linear PI controller and the STC/PP controller with each other and with linear PI controller under four experimental conditions: first, where welding conditions are nominal; second, when conditions are disturbed by a step-wise increase in the torch velocity, and third, when conditions are disturbed by a step-wise increase in material thickness. In each case the experimental demonstrates the superiority of the adaptive controllers over the linear PI controller. However, the STC/PP controller exhibits high frequency control action in response to severe disturbances of material thickness and the parameter estimates it generates drift during steady-state operations. The MRAC/NL controller proves more robust under these circumstances. Analysis demonstrates that the superior performance of the MRAC/NL is due both to the inherent normalizing effect of the quadratic feedback terms and to the noise filtering properties of the adaptive mechanism.

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25

Bosse, Stefan, and Dirk Lehmhus. "Material-integrated cluster computing in self-adaptive robotic materials using mobile multi-agent systems." Cluster Computing 22, no. 3 (January 3, 2019): 1017–37. http://dx.doi.org/10.1007/s10586-018-02894-x.

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26

Hoang, Van-Nam. "Two-scale design of porosity-like materials using adaptive geometric components." Journal of Science and Technology in Civil Engineering (STCE) - NUCE 14, no. 3 (August 19, 2020): 75–83. http://dx.doi.org/10.31814/stce.nuce2020-14(3)-07.

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This paper is an extension of our recent work that presents a two-scale design method of porosity-like materials using adaptive geometric components. The adaptive geometric components consist of two classes of geometric components: one describes the overall structure at the macrostructure and the other describes the structure of the material at the microstructures. A smooth Heaviside-like elemental-density function is obtained by projecting these two classes on a finite element mesh, namely fixed to reduce meshing computation. The method allows simultaneous optimization of both the overall shape of the macrostructure and the material structure at the micro-level without additional techniques (i.e., material homogenization), connection constraints, and local volume constraints, as often seen in most existing methods. Some benchmark structural design problems are investigated and a selected design is post-processed for 3D printing to validate the effectiveness of the proposed method. Keywords: topology optimization; concurrent optimization; porosity structures; two-scale topology optimization; adaptive geometric components.

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27

Broniewicz, Elżbieta, Mirosław Broniewicz, Beata Skubiak, Artur Bryliński, and Paulina Grabowska. "Adaptive reuse of buildings." Ekonomia i Środowisko - Economics and Environment 83, no. 4 (January 12, 2023): 338–57. http://dx.doi.org/10.34659/eis.2022.83.4.575.

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The article aims to evaluate criteria that should be considered when deciding on the adaptive reuse of existing buildings. Reusing a building by means of renovation is in line with the concept of sustainability, as it makes it possible to extend the useful life of a building without incurring significant financial expenses. The concept is related to the theory of the circular economy, which maintains that by designing a system of closed-loop processes – in which waste from one process is used as raw material for another – the consumption of raw materials, the amount of waste and energy losses can be minimised. The article discusses criteria that local governments, municipalities, architects, and designers should consider when deciding whether to reuse a building. The criteria were classified as technical, economic, social, spatial and environmental. To achieve the main objective, we looked into the preferences of current and potential practitioners who might be involved in the adaptive reuse of buildings with regard to the criteria. The most significant criteria were validated using a survey method.

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28

Bacot, L. Marie, Tarun K. Mukherjee, Sandra J. Hartman, and Olof H. Lundberg. "The Impact Of Organizational Capacity And Material Capacity On Stock Price Performance." Journal of Applied Business Research (JABR) 8, no. 2 (October 18, 2011): 94. http://dx.doi.org/10.19030/jabr.v8i2.6170.

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Chakravarthy (1982) contends that a firms adaptive ability depends upon its material capacity and its organizational capacity and its adaptive fit. This study identifies the material and organizational capacities of 18 publicly-held corporations and relates each firms state of adaptation and adaptive fit to a measure of its stock price performance. A significant relationship is found between state of adaptation and stock price performance.

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29

Zarzycki, Andrzej, and Martina Decker. "Climate-adaptive buildings: Systems and materials." International Journal of Architectural Computing 17, no. 2 (June 2019): 166–84. http://dx.doi.org/10.1177/1478077119852707.

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This article discusses research case studies that deploy physical computing with kinetic, pneumatic, and smart material technologies as vehicles to address the prospects of these technologies and their future impact on resilient and high-performance buildings. It looks into conceptual aspects of an integrated hybrid system that combines both computation approaches and unique opportunities inherent to these hybrid designs.

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Li, Frederick W. B., Rynson W. H. Lau, and Parthiban Dharmendran. "An Adaptive Course Generation Framework." International Journal of Distance Education Technologies 8, no. 3 (July 2010): 47–64. http://dx.doi.org/10.4018/jdet.2010070104.

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Existing adaptive e-learning methods are supported by student (user) profiling for capturing student characteristics, and course structuring for organizing learning materials according to topics and levels of difficulties. Adaptive courses are then generated by extracting materials from the course structure to match the criteria specified in the student profiles. In addition, to handle advanced student characteristics, such as learning styles, course material annotation and programming-based decision rules are typically used. However, these additives demand certain programming skills from an instructor to proceed with course construction; they may also require building multiple course structures to handle practical pedagogical needs. In this paper, the authors propose a framework based on the concept space and the concept filters to support adaptive course generation where comprehensive student characteristics are considered. The concept space is a data structure for modeling student and course characteristics, while the concept filters are modifiers to determine how the course should be delivered. Because of the “building block” nature of the concept nodes and the concept filters, the proposed framework is extensible. More importantly, the authors’ framework does not require instructors to equip with any programming skills when they construct adaptive e-learning courses.

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31

Mishin, Yury A., Oleg V. Vasilyev, and Taras V. Gerya. "A Wavelet-Based Adaptive Finite Element Method for the Stokes Problems." Fluids 7, no. 7 (June 30, 2022): 221. http://dx.doi.org/10.3390/fluids7070221.

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In this work, we present the mathematical formulation of the new adaptive multiresolution method for the Stokes problems of highly viscous materials arising in computational geodynamics. The method is based on particle-in-cell approach—the Stokes system is solved on a static Eulerian finite element grid and material properties are carried in space by Lagrangian material points. The Eulerian grid is adapted using the wavelet-based adaptation algorithm. Both bilinear (Q1P0, Q1Q1) and biquadratic (Q2P−1) mixed approximations for the Stokes system are supported. The proposed method is illustrated for a number of linear and nonlinear two-dimensional benchmark problems of geophysical relevance. The results of the adaptive numerical simulations using the proposed method are in an excellent agreement with those obtained on non-adaptive grids and with analytical solutions, while computational requirements are few orders of magnitude less compared to the non-adaptive simulations in terms of both time and memory usage.

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32

Dupuy, Jonathan, and Wenzel Jakob. "An adaptive parameterization for efficient material acquisition and rendering." ACM Transactions on Graphics 37, no. 6 (January 10, 2019): 1–14. http://dx.doi.org/10.1145/3272127.3275059.

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33

Gernhardt, Marvin, Hendrik Frisch, Alexander Welle, Robert Jones, Martin Wegener, Eva Blasco, and Christopher Barner-Kowollik. "Multi-material 3D microstructures with photochemically adaptive mechanical properties." Journal of Materials Chemistry C 8, no. 32 (2020): 10993–1000. http://dx.doi.org/10.1039/d0tc02751k.

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Multi-material 3D microstructures with photochemically adaptive mechanical properties are fabricated and we explore how their photo-responsiveness is related to the parameters that are used during their creation via 3D laser lithography.

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34

Guo, Jianglong, Thomas Bamber, Yuchen Zhao, Matthew Chamberlain, Laura Justham, and Michael Jackson. "Toward Adaptive and Intelligent Electroadhesives for Robotic Material Handling." IEEE Robotics and Automation Letters 2, no. 2 (April 2017): 538–45. http://dx.doi.org/10.1109/lra.2016.2646258.

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35

Bittanti, Sergio, Andrea Franchini, Marco Lovera, and Renato Manigrasso. "Adaptive Control of Raw Material Mix in Cement Plants." IFAC Proceedings Volumes 30, no. 6 (May 1997): 1269–74. http://dx.doi.org/10.1016/s1474-6670(17)43536-1.

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Camacho, E. F., M. Berenguel, F. J. García-martín, and F. R. Rubio. "Adaptive Control of a Solar Furnace for Material Testing." IFAC Proceedings Volumes 31, no. 22 (August 1998): 163–69. http://dx.doi.org/10.1016/s1474-6670(17)35938-4.

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37

Jones, Karl O. "Book Review: Advanced Automation Techniques in Adaptive Material Processing." Measurement and Control 40, no. 4 (May 2007): 124. http://dx.doi.org/10.1177/002029400704000407.

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38

Yalcintas, Melek, and John P. Coulter. "An Adaptive Beam Model with Electrorheological Material Based Applications." Journal of Intelligent Material Systems and Structures 6, no. 4 (July 1995): 498–507. http://dx.doi.org/10.1177/1045389x9500600407.

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39

Bouguecha, A., B. A. Behrens, A. Meyer-Lindenberg, P. Wefstaedt, C. Stukenborg-Colsman, and I. Nolte. "STRAIN-ADAPTIVE BONE MODELLING: INFLUENCE OF THE IMPLANT MATERIAL." Journal of Biomechanics 41 (July 2008): S486. http://dx.doi.org/10.1016/s0021-9290(08)70485-8.

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40

Chiu, W. K., X. Y. Kou, and S. T. Tan. "Adaptive Meshing of 2D Heterogeneous Objects Using Material Quadtree." Computer-Aided Design and Applications 8, no. 2 (January 2011): 289–300. http://dx.doi.org/10.3722/cadaps.2011.289-300.

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41

Mueller, R., D. Gross, and G. A. Maugin. "Use of material forces in adaptive finite element methods." Computational Mechanics 33, no. 6 (May 1, 2004): 421–34. http://dx.doi.org/10.1007/s00466-003-0543-z.

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42

DeLay, Michael, Xi Chen, Jonathan Dworkin, Adam Driks, and Ozgur Sahin. "The Bacterial Spore as an Energy-Rich Adaptive Material." Biophysical Journal 108, no. 2 (January 2015): 487a. http://dx.doi.org/10.1016/j.bpj.2014.11.2662.

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43

Meyer, Arnd, and Michael Weise. "Numerical simulation of transversely isotropic material using adaptive FEM." PAMM 11, no. 1 (December 2011): 789–90. http://dx.doi.org/10.1002/pamm.201110383.

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44

Klasnja-Milicevic, Aleksandra, Boban Vesin, Mirjana Ivanovic, and Zoran Budimac. "Integration of recommendations and adaptive hypermedia into java tutoring system." Computer Science and Information Systems 8, no. 1 (2011): 211–24. http://dx.doi.org/10.2298/csis090608021k.

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A way to improve the effectiveness in e-learning is to offer the personalized approach to the learner. Adaptive e-learning system needs to use different strategies and technologies to predict and recommend the most likely preferred options for further learning material. This can be achieved by recommending and adapting the appearance of hyperlinks or simply by recommending actions and recourses. This paper presents an idea for integration of such recommender system into existing web-based Java tutoring system in order to provide various adaptive programming courses.

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45

Song, Yan Li. "The Research on the Adaptive Network English Learning of Guizhou University." Applied Mechanics and Materials 462-463 (November 2013): 960–63. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.960.

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It appears that the adaptive English material can enhance students English abilities. This paper model the adaptive network English education platform according to the actuality of Guizhou university students, this platform can afford the most appropriate English materials, it will have a great role in promoting the English education teaching reform and advancing the students level by reducing the differences.

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Dudok, Bohdan. "Adaptive Learning Service Based on Spacing Effect." Advances in Cyber-Physical Systems 7, no. 2 (December 16, 2022): 91–100. http://dx.doi.org/10.23939/acps2022.02.091.

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In the article, the adaptive educational service is based on the mechanism of interval repetitions. This system allows the user to study material products without much effort. The technology "Training with reinforcement" has been used as a mechanism of interval repetitions. The technology and an adaptive service of development environment have been reasonably chosen. The structural scheme, the scheme of the algorithm of work, and the scheme of the database structure have been developed. The program has been implemented using the C# programming language and using ASP.NET technologies and its library. The purpose of the study: to develop an adaptive learning service based on the technology of interval repetition.

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Arnaut, L. R. "Adaptive control and optimization of electromagnetic radiation, attenuation, and scattering using self-adaptive material systems." IEEE Transactions on Antennas and Propagation 51, no. 7 (July 2003): 1530–48. http://dx.doi.org/10.1109/tap.2003.813617.

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Kleinwort, Robin, Jonathan Platz, and Michael F. Zaeh. "Adaptive Active Vibration Control for Machine Tools with Highly Position-Dependent Dynamics." International Journal of Automation Technology 12, no. 5 (September 5, 2018): 631–41. http://dx.doi.org/10.20965/ijat.2018.p0631.

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The material removal rates of machine tools are often limited by chatter, which is caused by the machine’s most flexible structural modes. Active vibration control systems mitigate chatter vibrations and increase the chatter free axial depth of cut. However, model-based control strategies reach their limit if the machine tool exhibits highly position-dependent dynamics. In this paper, an adaptive control strategy is presented. This strategy uses online system identification to adapt the controller. The adaption algorithm is mainly automated. However, a few parameters still need to be selected. Therefore, a methodology for the determination of the optimal parameters is proposed. The adaptive controller was implemented on a B&R PLC and its suitability was verified experimentally by the observation of notable increases in the chatter-free material removal rates.

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Chen, Yunxiao, Xiaoou Li, Jingchen Liu, and Zhiliang Ying. "Recommendation System for Adaptive Learning." Applied Psychological Measurement 42, no. 1 (March 26, 2017): 24–41. http://dx.doi.org/10.1177/0146621617697959.

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An adaptive learning system aims at providing instruction tailored to the current status of a learner, differing from the traditional classroom experience. The latest advances in technology make adaptive learning possible, which has the potential to provide students with high-quality learning benefit at a low cost. A key component of an adaptive learning system is a recommendation system, which recommends the next material (video lectures, practices, and so on, on different skills) to the learner, based on the psychometric assessment results and possibly other individual characteristics. An important question then follows: How should recommendations be made? To answer this question, a mathematical framework is proposed that characterizes the recommendation process as a Markov decision problem, for which decisions are made based on the current knowledge of the learner and that of the learning materials. In particular, two plain vanilla systems are introduced, for which the optimal recommendation at each stage can be obtained analytically.

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Balamurugan, S. "Adaptive Control based Condition Monitoring of CNC Machine." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 2718–25. http://dx.doi.org/10.22214/ijraset.2022.44295.

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Abstract: An adaptive control constraint system has been developed for computer numerical control (CNC) turning based on the feedback control and adaptive control/self-tuning control. In an adaptive controlled system, the signals from the onlinemeasurement have to be processed and fed back to the machine tool controller to adjust the cutting parameters so that the machiningcan be stopped once a certain threshold is crossed. The main focus of the present work is to develop a reliable adaptive control system, and the objective of the control system is to control the cutting parameters and maintain the displacement and tool flank wear under constraint valves for a particular workpiece and tool combination as per ISO standard. Using Matlab Simulink, the digital adaption of the cutting parameters for experiment has confirmed the efficiency of the adaptively controlled condition monitoring system, which is reflected in different machining processes at varying machining conditions. This work describes the state of the art of the adaptive control constraint (ACC) machining systems for turning. AISI4140 steel of 150 BHN hardness is used as the workpiece material, and carbide inserts are used as cutting tool material throughout the experiment. With the developed approach, it is possible to predict the tool condition pretty accurately, if the feed and surface roughness are measured at identical conditions. As part of the present research work, the relationship between displacement due to vibration, cutting force, flank wear, and surface roughness has been examined.

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