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Journal articles on the topic 'Adaptive experimentation'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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1

Cavagnaro, Daniel R., Mark A. Pitt, and Jay I. Myung. "Model discrimination through adaptive experimentation." Psychonomic Bulletin & Review 18, no. 1 (November 16, 2010): 204–10. http://dx.doi.org/10.3758/s13423-010-0030-4.

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Salgotra, Rohit, Urvinder Singh, Sriparna Saha, and Amir H. Gandomi. "Self adaptive cuckoo search: Analysis and experimentation." Swarm and Evolutionary Computation 60 (February 2021): 100751. http://dx.doi.org/10.1016/j.swevo.2020.100751.

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3

Kang, G., and L. Fransen. "Experimentation with an adaptive noise-cancellation filter." IEEE Transactions on Circuits and Systems 34, no. 7 (July 1987): 753–58. http://dx.doi.org/10.1109/tcs.1987.1086201.

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4

Kolsarici, Ceren, Demetrios Vakratsas, and Prasad A. Naik. "The Anatomy of the Advertising Budget Decision: How Analytics and Heuristics Drive Sales Performance." Journal of Marketing Research 57, no. 3 (March 24, 2020): 468–88. http://dx.doi.org/10.1177/0022243720907578.

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The authors investigate how heuristics and analytics contribute to the advertising budget decision by decomposing it into four components: (1) baseline spending, (2) adaptive experimentation, (3) advertising-to-sales ratio, and (4) competitive parity. They propose a methodology to estimate and infer the weights of these four components. Applying this methodology to sales and advertising data across eight brands from three categories substantiates for the first time, and uniformly across all brands, that managers depart from optimality through adaptive experimentation, which is in line with dual control theory that suggests they do so to learn about advertising effectiveness. The adaptive experimentation finding, combined with evidence on the use of heuristic methods, suggests that budget decision making is characterized by bounded rationality. Furthermore, budgeting decisions are brand-specific, reflecting the considerations of a brand’s market position and performance. Finally, simulation studies show that brands from categories with high uncertainty in advertising effectiveness can benefit from double-digit revenue lifts by placing higher emphasis on adaptive experimentation.

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5

Siddiqui, Mubashir, and Kai Yang. "Adaptive sequential experimentation based on revised simplex search." International Journal of Experimental Design and Process Optimisation 1, no. 2/3 (2009): 105. http://dx.doi.org/10.1504/ijedpo.2009.030315.

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6

Seraji, H. "Decentralized adaptive control of manipulators: theory, simulation, and experimentation." IEEE Transactions on Robotics and Automation 5, no. 2 (April 1989): 183–201. http://dx.doi.org/10.1109/70.88039.

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Du, Hai, L. Andrew Corkan, Kexin Yang, Patricia Y. Kuo, and Jonathan S. Lindsey. "An automated microscale chemistry workstation capable of parallel, adaptive experimentation." Chemometrics and Intelligent Laboratory Systems 48, no. 2 (August 1999): 181–203. http://dx.doi.org/10.1016/s0169-7439(99)00019-2.

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Ghedira, Souhir, Pierre Pino, and Guy Bourhis. "Conception and Experimentation of a Communication Device with Adaptive Scanning." ACM Transactions on Accessible Computing 1, no. 3 (February 2009): 1–23. http://dx.doi.org/10.1145/1497302.1497304.

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9

Taleb, Mohammed, Arie Levant, and Franck Plestan. "Pneumatic actuator control: Solution based on adaptive twisting and experimentation." Control Engineering Practice 21, no. 5 (May 2013): 727–36. http://dx.doi.org/10.1016/j.conengprac.2012.06.011.

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10

Huang, Boyuan, Zhenghao Li, and Jiangyu Li. "An artificial intelligence atomic force microscope enabled by machine learning." Nanoscale 10, no. 45 (2018): 21320–26. http://dx.doi.org/10.1039/c8nr06734a.

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Cassaro, Mario, Manuela Battipede, Piero Gili, and Pier Marzocca. "An unconventional adaptive flutter suppression actuation system: From modeling to experimentation." Journal of Intelligent Material Systems and Structures 28, no. 8 (December 6, 2016): 1089–101. http://dx.doi.org/10.1177/1045389x16679281.

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This article contributes to the definition of an unconventional actuation system coupled with an adaptive control algorithm, it is intended specifically for slender/highly flexible wings flutter suppression. The design and validation process of the novel actuation architecture is presented together with the performance analysis of the post-flutter dynamics control. Robustness of the overall control architecture is verified with respect to the uncertainties deriving from the unpredictable degradation of the structural properties. The proposed actuation system is based on a row of multiple mini-spoilers, located in proximity of the leading edge and coordinated by a modified model reference adaptive control algorithm. The spoiler configuration is optimized by computational fluid dynamics numerical simulation, whereas the aerodynamic database is derived by wind tunnel tests on the prototype by means of a six-axes force balance. The resulting aeroelastic mathematical model is then used to implement and validate the adaptive control algorithm for a wide range of conditions, from on-design flutter speed and nominal structural stiffness to post-flutter speed and reduced structural stiffness. The two degree of freedom aeroelastic model is successfully controlled in all conditions. This article aims at defining a robust procedure for aeroelastic phenomena control system design, which employs a synergy of modeling, simulation, and experimental approaches. Pertinent conclusions are discussed in the final section of the article.

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Phaneuf, Patrick V., Dennis Gosting, Bernhard O. Palsson, and Adam M. Feist. "ALEdb 1.0: a database of mutations from adaptive laboratory evolution experimentation." Nucleic Acids Research 47, no. D1 (October 24, 2018): D1164—D1171. http://dx.doi.org/10.1093/nar/gky983.

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Xia, Kewei, Taeyang Lee, and Sang-Young Park. "Adaptive Saturated Neural Network Tracking Control of Spacecraft: Theory and Experimentation." International Journal of Aerospace Engineering 2019 (November 20, 2019): 1–11. http://dx.doi.org/10.1155/2019/7687459.

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An adaptive saturated neural network (NN) controller is developed for 6 degree-of-freedom (6DOF) spacecraft tracking, and its hardware-in-the-loop experimental validation is tested on the ground-based test facility. To overcome the dynamics uncertainties and prevent the large control saturation caused by the large tracking error at the beginning operation, a saturated radial basis function neural network (RBFNN) is introduced in the controller design, where the approximate error is counteracted by an adaptive continuous robust term. In addition, an auxiliary dynamical system is employed to compensate for the control saturation. It is proved that the ultimate boundedness of the closed-loop system is achieved. Besides, the proposed controller is implemented into a testbed facility to show the final operational reliability via hardware-in-the-loop experiments, where the experimental scenario describes that the simulator is tracking a planar trajectory while synchronizing its attitude with the desired angle. Experimental results illustrate that the proposed controller ensures that the simulator can track a preassigned trajectory with robustness to unknown inertial parameters and disturbances.

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14

DAS, SUNIL R. "ADAPTIVE SCHEDULED EXPERIMENTATION AND FAULT LOCATION IN LARGE COMBINATIONAL LOGIC NETWORKS." Cybernetics and Systems 19, no. 1 (January 1988): 1–12. http://dx.doi.org/10.1080/01969728808902153.

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15

Zhao, Chang Rui, Xiao Ming Chi, Zhen Yu Wang, Wei Yan, and Dong Li. "Adaptive Pixel Crosstalk Compensation for CMOS Image Sensor." Advanced Materials Research 981 (July 2014): 310–14. http://dx.doi.org/10.4028/www.scientific.net/amr.981.310.

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A new algorithm for removing pixel crosstalk in CMOS image sensors with Bayer color filter array was proposed. The algorithm can estimate low/high frequency image and provide adaptive threshold based on the human visual characteristics. By simulation experimentation on Macbeth color checker, resolution checker and real image, the experimental results revealed that this algorithm can remove the pixel crosstalk effectively.

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16

Cook, William M., David G. Casagrande, Diane Hope, Peter M. Groffman, and Scott L. Collins. "Learning to roll with the punches: adaptive experimentation in human-dominated systems." Frontiers in Ecology and the Environment 2, no. 9 (November 2004): 467–74. http://dx.doi.org/10.1890/1540-9295(2004)002[0467:ltrwtp]2.0.co;2.

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17

Frey, Daniel D., and Hungjen Wang. "Adaptive One-Factor-at-a-Time Experimentation and Expected Value of Improvement." Technometrics 48, no. 3 (August 2006): 418–31. http://dx.doi.org/10.1198/004017006000000075.

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18

Carrasco, J. M., E. Galvan, G. E. Valderrama, R. Ortega, and A. M. Stankovic. "Analysis and experimentation of nonlinear adaptive controllers for the series resonant converter." IEEE Transactions on Power Electronics 15, no. 3 (May 2000): 536–44. http://dx.doi.org/10.1109/63.844514.

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19

Cork, David G., Tohru Sugawara, Jonathan S. Lindsey, L. Andrew Corkan, and Hai Du. "Further development of a versatile microscale automated workstation for parallel adaptive experimentation." Laboratory Robotics and Automation 11, no. 4 (1999): 217–23. http://dx.doi.org/10.1002/(sici)1098-2728(1999)11:4<217::aid-lra6>3.0.co;2-c.

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20

Kalyanam, Kirthi, Shelby McIntyre, and J. Todd Masonis. "Adaptive experimentation in interactive marketing: The case of viral marketing at Plaxo." Journal of Interactive Marketing 21, no. 3 (January 2007): 72–85. http://dx.doi.org/10.1002/dir.20086.

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21

Levchuk, Yuri N., Krishna R. Pattipati, and David L. Kleinman. "Analytic model driven organizational design and experimentation in adaptive command and control." Systems Engineering 2, no. 2 (1999): 78–107. http://dx.doi.org/10.1002/(sici)1520-6858(1999)2:2<78::aid-sys4>3.0.co;2-#.

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22

Sudarsanam, Nandan, and Daniel D. Frey. "Using ensemble techniques to advance adaptive one-factor-at-a-time experimentation." Quality and Reliability Engineering International 27, no. 7 (January 21, 2011): 947–57. http://dx.doi.org/10.1002/qre.1187.

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23

Mohammadi, Mostafa, and Alireza Mohammad Shahri. "Adaptive Nonlinear Stabilization Control for a Quadrotor UAV: Theory, Simulation and Experimentation." Journal of Intelligent & Robotic Systems 72, no. 1 (February 24, 2013): 105–22. http://dx.doi.org/10.1007/s10846-013-9813-y.

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24

Et. al., Surender Singh,. "Threshold Modeling of Basic Statistical Methods for Effective Motion Detection in Video Surveillance." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (April 11, 2021): 569–75. http://dx.doi.org/10.17762/turcomat.v12i2.890.

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This paper empirical investigates two basic statistical methods namely Adaptive Median and Adaptive Mean for motion detection in video surveillance for the optimization of parameters namely threshold and the refresh rate of background frame used in these methods. Experimentation shows that the optimum choice of parameters majorly affects the quality of motion detection. The performance of methods for different parameters is measured using precision, recall and f1-score. PR curves are also drawn which are based on precision and recall values to show the effect of different parameters. Test data includes six data sets from different scenarios of ‘CDNet2012’. Experimental results verify that for every method there are fixed values of parameters with slight variations which gives better result of object motion. These parameter values can be used or adapted for future experimentation on these methods with respect to each scenario.

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Frey, Daniel D., and Rajesh Jugulum. "The Mechanisms by Which Adaptive One-factor-at-a-time Experimentation Leads to Improvement." Journal of Mechanical Design 128, no. 5 (August 31, 2005): 1050–60. http://dx.doi.org/10.1115/1.2216733.

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This paper examines mechanisms underlying the phenomenon that, under some conditions, adaptive one-factor-at-a-time experiments outperform fractional factorial experiments in improving the performance of mechanical engineering systems. Five case studies are presented, each based on data from previously published full factorial physical experiments at two levels. Computer simulations of adaptive one-factor-at-a-time and fractional factorial experiments were carried out with varying degrees of pseudo-random error. For each of the five case studies, the average outcomes are plotted for both approaches as a function of the strength of the pseudo-random error. The main effects and interactions of the experimental factors in each system are presented and analyzed to illustrate how the observed simulation results arise. The case studies show that, for certain arrangements of main effects and interactions, adaptive one-factor-at-a-time experiments exploit interactions with high probability despite the fact that these designs lack the resolution to estimate interactions. Generalizing from the case studies, four mechanisms are described and the conditions are stipulated under which these mechanisms act.

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26

AGRAWAL, A., M. T. LYNSKEY, K. K. BUCHOLZ, N. G. MARTIN, P. A. F. MADDEN, and A. C. HEATH. "Contrasting models of genetic co-morbidity for cannabis and other illicit drugs in adult Australian twins." Psychological Medicine 37, no. 1 (November 1, 2006): 49–60. http://dx.doi.org/10.1017/s0033291706009287.

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Background. The use of cannabis and other illicit drugs (OIDs) and their co-morbid misuse are frequently reported in the literature. Correlated vulnerabilities and causal or gateway influences have been implicated in this association. We investigated the source of this co-morbidity between cannabis use (experimentation, early and repeated use, and problems) and OID experimentation and problems using genetic models proposed by Neale and Kendler (American Journal of Human Genetics 1995, 57, 935–953).Method. In a sample of 4152 same-sex male and female adult Australian twin individuals, we fit 13 genetically informative models of co-morbidity to data on experimentation, early use, repeated use of cannabis and co-morbid OID experimentation, and to abuse/dependence (A/D) problems with cannabis and OIDs.Results. Model-fitting results suggest that common genetic, shared and unique environmental factors are responsible for the association between cannabis experimentation, early use, repeated use and A/D problems and OID experimentation or problems. The liability causation model, which is a reduced form of the correlated vulnerabilities model, also fit very well. In women, we found evidence for high-risk cannabis experimenters and repeated users to be at increased risk for OID experimentation, despite being below the risk threshold on the liability distribution for OID experimentation (extreme multiformity).Conclusions. Co-morbid cannabis and OID use and misuse are due partly to a common predisposition to substance use disorders. Putative causal effects could not be ruled out. These models warrant further research, so that features of the correlated vulnerabilities model and the gateway models can be studied jointly in a single series of adaptive nested models.

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Siddiqui, Mubashir, and Kai Yang. "Adaptive sequential experimentation technique for 3³ factorial designs based on revised simplex search." International Journal of Experimental Design and Process Optimisation 1, no. 4 (2010): 296. http://dx.doi.org/10.1504/ijedpo.2010.034987.

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28

Godwin, A., R. Kilgore, and D. Kudryavtsev. "Adaptive Skill Rehearsal and Experimentation Environment for Battle field First-Aid Procedure Training." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 55, no. 1 (September 1, 2011): 2128–32. http://dx.doi.org/10.1177/1071181311551444.

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29

De Queiroz, M. S., Jun Hu, D. M. Dawson, T. Burg, and S. R. Donepudi. "Adaptive position/force control of robot manipulators without velocity measurements: theory and experimentation." IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 27, no. 5 (October 1997): 796–809. http://dx.doi.org/10.1109/3477.623233.

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30

Ahmad, Mohd Ashraf, Haszuraidah Ishak, Ahmad Nor Kasruddin Nasir, and Normaniha Abd Ghani. "Data-based PID control of flexible joint robot using adaptive safe experimentation dynamics algorithm." Bulletin of Electrical Engineering and Informatics 10, no. 1 (February 1, 2021): 79–85. http://dx.doi.org/10.11591/eei.v10i1.2472.

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This paper proposes the data-based PID controller of flexible joint robot based on adaptive safe experimentation dynamics (ASED) algorithm. The ASED algorithm is an enhanced version of SED algorithm where the updated tuning variable is modified to adapt to the change of the objective function. By adopting the adaptive term to the updated equation of SED, it is expected that the convergence accuracy can be further improved. The effectiveness of the ASED algorithm is verified to tune the PID controller of flexible joint robot. In this flexible joint control problem, two PID controllers are utilized to control both rotary angle tracking and vibration of flexible joint robot. The performance of the proposed data-based PID controller is assessed in terms of trajectory tracking of angular motion, vibration reduction and statistical analysis of the pre-defined control objective function. The simulation results showed that the data-based PID controller based on ASED is able to produce better control accuracy than the conventional SED based method.

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31

Lanza Volpe, Annalisa. "Building Optimization: The Adaptive Façade." Advanced Materials Research 1149 (August 2018): 64–75. http://dx.doi.org/10.4028/www.scientific.net/amr.1149.64.

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The façade design has so far mainly viewed in a static form but besides the architectural criteria many external variable factors influence the resulting building performance. If we refer for instance to the building envelope as a key element to control the exchanges between indoors and outdoors, the amount of energy used will depend on some variables such as climatic factors, orientation, structure, materials and use. In order to accurately evaluate heat and mass transfer over time, sophisticated simulation software exists. They can provide access to an in-depth understanding of the consequences of the design choices and may even inspire new architectural solutions. The step forward in the use of such software is the development of adaptive systems that can react in different situations. This concept can optimize the buildings performances. In the last years, thanks to the advances in technology, adaptive solutions represent a growing field of experimentation. This paper explores the possibilities of adaptive façades with the aim to furnish a framework for their design.

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32

Kim, Woojae, Mark A. Pitt, Zhong-Lin Lu, Mark Steyvers, and Jay I. Myung. "A Hierarchical Adaptive Approach to Optimal Experimental Design." Neural Computation 26, no. 11 (November 2014): 2465–92. http://dx.doi.org/10.1162/neco_a_00654.

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Experimentation is at the core of research in the behavioral and neural sciences, yet observations can be expensive and time-consuming to acquire (e.g., MRI scans, responses from infant participants). A major interest of researchers is designing experiments that lead to maximal accumulation of information about the phenomenon under study with the fewest possible number of observations. In addressing this challenge, statisticians have developed adaptive design optimization methods. This letter introduces a hierarchical Bayes extension of adaptive design optimization that provides a judicious way to exploit two complementary schemes of inference (with past and future data) to achieve even greater accuracy and efficiency in information gain. We demonstrate the method in a simulation experiment in the field of visual perception.

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33

Yarza, Antonio, Victor Santibanez, and Javier Moreno-Valenzuela. "An adaptive output feedback motion tracking controller for robot manipulators: Uniform global asymptotic stability and experimentation." International Journal of Applied Mathematics and Computer Science 23, no. 3 (September 1, 2013): 599–611. http://dx.doi.org/10.2478/amcs-2013-0045.

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Abstract This paper deals with two important practical problems in motion control of robot manipulators: the measurement of joint velocities, which often results in noisy signals, and the uncertainty of parameters of the dynamic model. Adaptive output feedback controllers have been proposed in the literature in order to deal with these problems. In this paper, we prove for the first time that Uniform Global Asymptotic Stability (UGAS) can be obtained from an adaptive output feedback tracking controller, if the reference trajectory is selected in such a way that the regression matrix is persistently exciting. The new scheme has been experimentally implemented with the aim of confirming the theoretical results.

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34

Favati, Paola, Grazia Lotti, Ornella Menchi, and Francesco Romani. "Adaptive Clustering via Symmetric Nonnegative Matrix Factorization of the Similarity Matrix." Algorithms 12, no. 10 (October 17, 2019): 216. http://dx.doi.org/10.3390/a12100216.

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The problem of clustering, that is, the partitioning of data into groups of similar objects, is a key step for many data-mining problems. The algorithm we propose for clustering is based on the symmetric nonnegative matrix factorization (SymNMF) of a similarity matrix. The algorithm is first presented for the case of a prescribed number k of clusters, then it is extended to the case of a not a priori given k. A heuristic approach improving the standard multistart strategy is proposed and validated by the experimentation.

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35

Santos, Carlos, Manuel Mazo, and Felipe Espinosa. "Adaptive self-triggered control of a remotely operated P3-DX robot: Simulation and experimentation." Robotics and Autonomous Systems 62, no. 6 (June 2014): 847–54. http://dx.doi.org/10.1016/j.robot.2014.01.010.

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36

Tsai, Ching-Chih, Shih-Min Hsieh, and Chien-Tzu Chen. "Fuzzy Longitudinal Controller Design and Experimentation for Adaptive Cruise Control and Stop&Go." Journal of Intelligent & Robotic Systems 59, no. 2 (January 14, 2010): 167–89. http://dx.doi.org/10.1007/s10846-010-9393-z.

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37

Lee, Sungjin, and Rahul Jha. "Zero-Shot Adaptive Transfer for Conversational Language Understanding." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 6642–49. http://dx.doi.org/10.1609/aaai.v33i01.33016642.

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Conversational agents such as Alexa and Google Assistant constantly need to increase their language understanding capabilities by adding new domains. A massive amount of labeled data is required for training each new domain. While domain adaptation approaches alleviate the annotation cost, prior approaches suffer from increased training time and suboptimal concept alignments. To tackle this, we introduce a novel Zero-Shot Adaptive Transfer method for slot tagging that utilizes the slot description for transferring reusable concepts across domains, and enjoys efficient training without any explicit concept alignments. Extensive experimentation over a dataset of 10 domains relevant to our commercial personal digital assistant shows that our model outperforms previous state-of-the-art systems by a large margin, and achieves an even higher improvement in the low data regime.

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38

Pound, B., B. Adolph, J. Manzi, F. Agobe, and D. Olege. "Novel adaptive research process for Africa’s livestock producers." Proceedings of the British Society of Animal Science 2005 (2005): 26. http://dx.doi.org/10.1017/s1752756200009376.

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There is general agreement on the need to develop appropriate technologies that respond to farmers’ needs and opportunities. However, much research output is dominated by technical considerations, and often does not include key information that farmers need in order to make informed decisions on uptake. Such information includes: economic viability, risks, resources required, local availability of inputs, mechanisms for realising the benefits of technologies at a group level, and the availability and characteristics of markets. Some of the information needed by farmers is tacit and highly contextual, such as managing social organisation. In that case users require advice on how to generate the relevant knowledge for themselves, e.g. through experimentation or interaction (such as contacting potential buyers for their produce, or experimenting with different ways of sharing assets).

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Reziwan, Mai Maiti, Yi Ming Alimujiang, and Asikaer Kadeer. "Design of a Compensator for Adaptive Optics System Based on Robust Model Matching." Advanced Materials Research 677 (March 2013): 485–89. http://dx.doi.org/10.4028/www.scientific.net/amr.677.485.

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Adaptive Optics is a developing technology which is commonly used in ground-based astronomical telescopes. To achieve high-resolution imaging of targets in space, it is very important to reduce the effects of atmospheric turbulence. In this paper, we presented a simple and practical robust compensator for an AO system, based on the Robust Model Matching Strategy. Simulation and experimentation results show that the system with the robust controller has improved considerably comparing to the previous work.

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Khairalla, M., M. F. Rahmat, N. Abdul Wahab, I. T. Thuku, T. Tajdari, and Abdulrahman Amuda Yusuf. "Particles flow identification in pipeline using adaptive network-based fuzzy inference system and electrodynamic sensors." Sensor Review 34, no. 2 (March 17, 2014): 201–8. http://dx.doi.org/10.1108/sr-09-2012-700.

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Purpose – An identification model for materials flow through a pipeline is presented in this paper. The development of the model involves fuzzy C-means clustering, in which different flow regimes can be identified by every adaptive network-based fuzzy inference system (ANFIS). The paper aims to discuss these issues. Design/methodology/approach – For experimentation, 16 electrodynamic sensors were used to monitor and measure the charge carried by dense particles flow through a pipeline in a vertical gravity flow rig system. Four ANFIS models were also used simultaneously to provide the expected output on thresh-holding and were evaluated for ten different flow regimes, which produced satisfactory results at high flow rate. Findings – The observations made on the four ANFIS models in the flow identification experimentation (in ten different flow regimes) have shown convincing and satisfactory results at high-flow rate of the particles. Originality/value – Electrodynamic sensors have shown strong sensing capability in identification of dense-particle flows within a conveyor; and also proven capability to operate effectively in harsh industrial environments due to their firm and simple structures. Moreover, it has been verified that these sensors can conveniently be applied in flow regime identification of solid particles.

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41

Merabet, Adel. "Adaptive Sliding Mode Speed Control for Wind Energy Experimental System." Energies 11, no. 9 (August 26, 2018): 2238. http://dx.doi.org/10.3390/en11092238.

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In this paper, an adaptive sliding mode speed control algorithm with an integral-operation sliding surface is proposed for a variable speed wind energy experimental system. In the control design, an estimator is designed to compensate for the uncertainties and the unknown turbine torque. In addition, the bound of the sliding mode is investigated to deal with uncertainties. The stability of the system can be guaranteed in the sense of the Lyapunov stability theorem. The laboratory size DC generator wind energy system is controlled using a buck-boost DC-DC converter interface. The control system is validated by experimentation and results demonstrate the achievement of favorable speed tracking performance and robustness against parametric variations and external disturbances.

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42

Petriccione, Livio, Fabio Fulchir, and Francesco Chinellato. "SELF-ADAPTING FAÇADE SYSTEMS: EXPERIMENTATION REGARDING THE EXPLOITATION OF THERMAL DILATION." Journal of Green Building 15, no. 4 (September 1, 2020): 67–90. http://dx.doi.org/10.3992/jgb.15.4.67.

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ABSTRACT An original and innovative solar device orientation system is illustrated, together with the results of research and experimentation. The system proposed uses only the force generated by natural thermal dilation, without the help of motors, computerized devices or external energy sources, thus overcoming some critical aspects of the self-adaptive type of building envelopes used up until now. In the course of the research a mathematical model was developed to correlate the variation of the environmental temperature with the consequent expansion of the dilating elements of the system. The results of the tests carried out confirmed an excellent correspondence between the theoretical results and the experimentation. The state of the art of the research has all its theoretical aspects defined and some partial prototypes created. It is planned to build some complete prototypes with the realistic prospect of productive development.

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43

Visser, W. P. J., O. Kogenhop, and M. Oostveen. "A Generic Approach for Gas Turbine Adaptive Modeling." Journal of Engineering for Gas Turbines and Power 128, no. 1 (March 1, 2004): 13–19. http://dx.doi.org/10.1115/1.1995770.

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For gas turbine engine performance analysis, a variety of simulation tools is available. In order to minimize model development and software maintenance costs, generic gas turbine system simulation tools are required for new modeling tasks. Many modeling aspects remain engine specific however and still require large implementation efforts. One of those aspects is adaptive modeling. Therefore, an adaptive modeling functionality has been developed that can be implemented in a generic component-based gas turbine environment. A single component in a system modeling environment is able to turn any new or existing model into an adaptive model without extra coding. The concept has been demonstrated in the GSP gas turbine modeling environment. An object-oriented architecture allows automatic addition of the necessary equations for the adaptation to measurement values. Using the adaptive modeling component, the user can preconfigure the adaptive model and quickly optimize gas path diagnostics capability using experimentation with field data. The resulting adaptive model can be used by maintenance engineers for diagnostics. In this paper the integration of the adaptive modeling function into a system modeling environment is described. Results of a case study on a large turbofan engine application are presented.

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Yeo, Roland K. "In praise of COVID-19: discovering adaptive leadership in unprecedented times." Strategic HR Review 20, no. 3 (June 17, 2021): 102–8. http://dx.doi.org/10.1108/shr-01-2021-0009.

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Purpose The purpose of this paper is to explore adaptive leadership behavior during a global health crisis in the context of the COVID-19 pandemic. It discusses the characteristics of adaptive leadership and offers practical steps to help managers lead through tough times. Design/methodology/approach This paper is based on an in-depth study of a mid-sized multinational professional service firm where 25 frontline managers were interviewed. Individual stories about the challenges and opportunities of how these managers led their company out of ambiguity contribute to critical insights as discussed in this paper. Findings First, leading adaptively involves a fundamental acknowledgment of your vulnerabilities by turning them into a source of inner strength through the support of others. Second, it is important to harness collective wisdom to accelerate urgent and complex decision-making. Third, experimentation is key to breaking away from status quo and venturing into innovative practices. Fourth, following personal instincts while exercising objective judgment could give you the courage to think and act differently. Originality/value This paper offers firsthand insights into the mindsets and behaviors of practicing managers who spontaneously shared their deeper feelings and expectations of their leadership setbacks and foresight of what would be expected of the “new” normal in a post-pandemic era. The perspectives offered here provide a deeper dimension to the current understanding of adaptive leadership.

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LUKAC, RASTISLAV, PAVOL GALAJDA, and ALENA GALAJDOVA. "LUM PROCESSOR WITH NEURAL DECISION." International Journal of Pattern Recognition and Artificial Intelligence 20, no. 05 (August 2006): 747–62. http://dx.doi.org/10.1142/s0218001406004934.

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This paper focuses on impulsive noise filtering and outliers rejection in gray-scale images. The proposed method combines neural networks, lower-upper-middle (LUM) smoothers and adaptive switching operations to produce a high-quality enhanced image. Extensive experimentation reported in this paper indicates that the proposed method is sufficiently robust, achieves an excellent balance between noise suppression and signal-detail preservation, and outperforms some well-known filters both subjectively and objectively.

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Boubakir, Ahsene, Fares Boudjema, Franck Plestan, and Salim Labiod. "Design and experimentation of an observer-based linear adaptive control applied to an electropneumatic actuator." IET Control Theory & Applications 10, no. 11 (July 18, 2016): 1288–98. http://dx.doi.org/10.1049/iet-cta.2015.1187.

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Xiong, Chen, and Huang. "A Wavelet Adaptive Cancellation Algorithm Based on Multi-Inertial Sensors for the Reduction of Motion Artifacts in Ambulatory ECGs." Sensors 20, no. 4 (February 11, 2020): 970. http://dx.doi.org/10.3390/s20040970.

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Wearable electrocardiogram (ECG) devices are universally used around the world for patients who have cardiovascular disease (CVD). At present, how to suppress motion artifacts is one of the most challenging issues in the field of physiological signal processing. In this paper, we propose an adaptive cancellation algorithm based on multi-inertial sensors to suppress motion artifacts in ambulatory ECGs. Firstly, this method collects information related to the electrode motion through multi-inertial sensors. Then, the part that is not related to the electrode motion is removed through wavelet transform, which improves the correlation of the reference input signal. In this way, the ability of the adaptive cancellation algorithm to remove motion artifacts is improved in the ambulatory ECG. Subsequent experimentation demonstrated that the wavelet adaptive cancellation algorithm based on multi-inertial sensors can effectively remove motion artifacts in ambulatory ECGs.

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Jiao, Z., P. Chen, Q. Hua, and S. Wang. "Adaptive vibration active control of fluid pressure pulsations." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 217, no. 4 (June 1, 2003): 311–18. http://dx.doi.org/10.1177/095965180321700407.

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Conventionally, passive hydraulic absorbers are utilized in order to reduce the vibrations of the fluid power supply systems. It is very difficult to adapt the variable operation conditions, such as inconsistent vibration frequency and varying loads. This paper presents a new vibration active control method to diminish the vibrations of the fluid power supply efficiently. This method is adaptive and robust in controlling the fluctuating frequencies and load disturbances and is capable of keeping the vibrations at a minimum level under variable pump speeds. This paper illustrates the theory and experimentation of vibration active control of a fluid power supply pipeline system in detail. The multilayer piezoelectric technology (PZT) driven orifice valve is designed with characteristics of a proportional opening area to the control voltage, a high-frequency bandwidth and small size. The adaptive-optimum control method is adopted to adjust the control parameters at any instant against emerging disturbances. Based on the test rig, different vibration control methods were applied; the results indicate and confirm the validity of this principle.

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Baayoun, Mohamad, Naseem Daher, and Matthias Liermann. "Reduced order indirect self-tuning regulator for a novel pneumatic tele-operation system." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 234, no. 3 (June 10, 2019): 370–83. http://dx.doi.org/10.1177/0959651819854557.

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This article presents a reduced order indirect self-tuning regulator for a passive pneumatic tele-operation system, which is intended for use in medical surgeries in magnetic resonance imaging environments with short transmission distances ([Formula: see text]), where force feedback is required. The novel tele-operation system uses less active components as compared to conventional systems and realizes a bilateral control without the use of a force or pressure sensor. The proposed adaptive control system is validated in simulation and experimentation on a test rig built for this purpose. Special attention is given to the notion of transparency of the system, which is the ratio between the resistance of the master device experienced by the operator and the actual resistance of the remote environment in contact with the slave device. The adaptive controller shows advantage over a previously designed non-adaptive control system design in terms of stiffness, damping, and transparency.

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Khan, Sajid Ali, Shariq Hussain, and Shunkun Yang. "Contrast Enhancement of Low-Contrast Medical Images Using Modified Contrast Limited Adaptive Histogram Equalization." Journal of Medical Imaging and Health Informatics 10, no. 8 (August 1, 2020): 1795–803. http://dx.doi.org/10.1166/jmihi.2020.3196.

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The low contrast medical images seriously affect the clinical diagnosis process. To improve the image quality, we propose an effective medical images contrast enhancement technique in this paper. Shear wavelet transformation is used for decomposition of image components into low-frequency and high-frequency. The low-frequency part contrast is adjusted by applying modified contrast limited adaptive histogram equalization (CLAHE). The resultant image is further processed through technique of fuzzy contrast enhancement to maintain the spectral information of an image. Results of the experimentation show that our proposed technique enhance the image contrast up to a good degree while preserving the image details.

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