Добірка наукової літератури з теми "Parameter-free technique"

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Статті в журналах з теми "Parameter-free technique"

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Hanuman, Sai A., Vinaya A. Babu, A. Govardhan, and S. C. Satapathy. "Data Clustering using almost parameter free Differential Evolution technique." International Journal of Computer Applications 8, no. 13 (October 10, 2010): 1–7. http://dx.doi.org/10.5120/1310-1811.

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Geem, Zong Woo. "Economic Dispatch Using Parameter-Setting-Free Harmony Search." Journal of Applied Mathematics 2013 (2013): 1–5. http://dx.doi.org/10.1155/2013/427936.

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Economic dispatch is one of the popular energy system optimization problems. Recently, it has been solved by various phenomenon-mimicking metaheuristic algorithms such as genetic algorithm, tabu search, evolutionary programming, particle swarm optimization, harmony search, honey bee mating optimization, and firefly algorithm. However, those phenomenon-mimicking problems require a tedious and troublesome process of algorithm parameter value setting. Without a proper parameter setting, good results cannot be guaranteed. Thus, this study adopts a newly developed parameter-setting-free technique combined with the harmony search algorithm and applies it to the economic dispatch problem for the first time, obtaining good results. Hopefully more researchers in energy system fields will adopt this user-friendly technique in their own problems in the future.
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Bar-Meir, Genick. "Analysis of Mass Transfer Process in the Pore Free Technique." Journal of Engineering Materials and Technology 117, no. 2 (April 1, 1995): 215–19. http://dx.doi.org/10.1115/1.2804532.

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Air entrainment is one of the most significant problems in pressure die casting. A possible solution is to use the Pore Free technique. In this technique an oxygen is introduced into the die to react with the liquid metal. The vacuum created by the reaction reduces the porosity. The life span of the mold is augmented by the reduction of the pressure during the process. In some cases the Pore Free technique yields acceptable results, i.e., low porosity, while in other cases the results are not satisfactory. These differing results can be explained by an analysis of the mechanisms involved. A simple model is proposed based on conservation laws that describes the relationship between mass transfer mechanisms and pressure deviation. The model indicates that there is a critical dimensionless parameter above which the pressure is decreased and below which the pressure is increased. In the first case, when the parameter exceeds the critical value, the technique is useful. In the second case, when the parameter is less than the critical value, introducing oxygen does not greatly reduce the porosity. The analysis demonstrates that the Pore Free and vacuum venting techniques account for two different extremes. The first case is when the flow is orderly throughout the chamber in which vacuum venting can produce acceptable results. The second case is when the flow is turbulent and the Pore Free technique is the better choice.
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Guchhait, Shyamal, and Biswanath Banerjee. "Constitutive error based parameter estimation technique for plate structures using free vibration signatures." Journal of Sound and Vibration 419 (April 2018): 302–17. http://dx.doi.org/10.1016/j.jsv.2018.01.020.

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Pinit, Pichet, Tobita Susumu, and Eisaku Umezaki. "Determination of Principal-Stress Directions by Three-Step Color Phase Shifting Technique." Key Engineering Materials 321-323 (October 2006): 1284–87. http://dx.doi.org/10.4028/www.scientific.net/kem.321-323.1284.

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A three-step phase shifting approach for automatic determination of the isoclinic parameter in photoelasticity is presented. Unreliable isoclinic values affected by the isochromatic parameter are solved using the white light. The method uses three fringe images digitally captured by a digital camera for three different configurations of the dark-field plane polariscope. For a circular disk under compression, results show the method permits the isoclinic parameter in the range -π/2 to π/2 with almost free of the isochromatic parameter and comparable with theory.
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Wu, Qing, and Li Xing Yuan. "A Smooth Clustering Algorithm Based on Parameter Free Filled Function." Advanced Materials Research 143-144 (October 2010): 389–93. http://dx.doi.org/10.4028/www.scientific.net/amr.143-144.389.

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Анотація:
In this paper, we propose an algorithm to find centers of clusters based on adjustable entropy technique. A completely differentiable non-convex optimization model for the clustering center problem is constructed. A parameter free filled function method is adopted to search for a global optimal solution of the optimization model. The proposed algorithm can avoid the numerical overflow phenomenon. Numerical results illustrate that the proposed algorithm can effectively hunt centers of clusters and especially improve the accuracy of the clustering even with a relatively small entropy factor.
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Hendry, Martin A., and Stéphane Rauzy. "A Robust Technique for Estimating Cosmological Parameters." Symposium - International Astronomical Union 201 (2005): 467–68. http://dx.doi.org/10.1017/s0074180900216707.

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We present a new ROBUST technique for extracting information from galaxy surveys which allows determination of cosmological parameters free of almost any model assumptions concerning the galaxy luminosity function and spatial clustering. We illustrate ROBUST by estimating H0 and the linear bias parameter, β, from recent redshift-distance data.
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Ma, Zheng-Dong, Noboru Kikuchi, Hsien-Chie Cheng, and Ichiro Hagiwara. "Topological Optimization Technique for Free Vibration Problems." Journal of Applied Mechanics 62, no. 1 (March 1, 1995): 200–207. http://dx.doi.org/10.1115/1.2895903.

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A topological optimization technique using the conception of OMD (Optimal Material Distribution) is presented for free vibration problems of a structure. A new objective function corresponding to multieigenvalue optimization is suggested for improving the solution of the eigenvalue optimization problem. An improved optimization algorithm is then applied to solve these problems, which is derived by the authors using a new convex generalized-linearization approach via a shift parameter which corresponds to the Lagrange multiplier and the use of the dual method. Finally, three example applications are given to substantiate the feasibility of the approaches presented in this paper.
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Mannarelli, Massimo. "The improved Ginzburg-Landau technique." EPJ Web of Conferences 192 (2018): 00021. http://dx.doi.org/10.1051/epjconf/201819200021.

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Анотація:
We discuss an innovative method for the description of inhomogeneous phases designed to improve the standard Ginzburg-Landau expansion. The method is characterized by two key ingredients. The first one is a moving average of the order parameter designed to account for the long-wavelength modulations of the condensate. The second one is a sum of the high frequency modes, to improve the description of the phase transition to the restored phase. The method is applied to compare the free energies of 1D and 2D inhomogeneous structures arising in the chirally symmetric broken phase.
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Baciu, Andrei, and Corneliu Lazar. "Iterative Feedback Tuning of Model-Free Intelligent PID Controllers." Actuators 12, no. 2 (January 28, 2023): 56. http://dx.doi.org/10.3390/act12020056.

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Анотація:
In the last decades, model-free control (MFC) has become an alternative for complex processes whose models are not available or are difficult to obtain. Among the model-free control techniques, intelligent PID (iPID) algorithms, which are based on the ultralocal model parameterized with the constant α and including a classical PID, are used in many applications. This paper presents a new method for tuning iPID controllers based on the iterative feedback tuning (IFT) technique. This model-free tuning technique iteratively optimizes the parameters of a fixed structure controller using data coming from the closed-loop system operation. First, the discrete transfer functions of the iPID are deduced, considering the first and second order derivatives of the output variable from the ultralocal model. Using the discrete transfer functions, the iPID controllers become the fixed structure type, and the IFT parameter tuning method can be applied. Thus, in addition to the classical gains of the PID algorithm, the value of the parameter α is also obtained, which is usually determined by trial-and-error. The performances of the IFT-tuned iPID controllers were experimentally tested and validated in real-time using Quanser AERO 2 laboratory equipment with a one degree of freedom (1-DOF) configuration.
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Дисертації з теми "Parameter-free technique"

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Gul, Mohammed Jaza. "Segmentation générique et classification dans des images 3D+T." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066600.

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La segmentation est le principal problème de l'analyse d'image qui concerne l'extraction de l'information quantitative de l'image. La segmentation d'image partitionne une image en un nombre de régions separées du fond qui pourraient correspondre aux objets dans l'image. La technique la plus simple de segmentation est le seuillage, en considérant par exemple un seuil au dessous duquel les pixels/voxels sont considérés comme du fond. Le problème du seuillage est de trouver un seuil global; si le seuil est très bas, les objets se touchent et cela nécessite un post traitement, en revanche pour un seuil très haut, les objets ayant des intensités faibles seront supprimés. L'information qualitative peut être extraite directement sur l'image segmentée. Or, afin de donner plus de sens aux objets, les objets détéctés peuvent être assignés à des classes ou clusters d'objets prédefinis. Dans cette thèse, je présente une nouvelle contribution dans le domaine de l'informatique appliquée à la biologie. La contribution « informatique » c'est la nouvelle technique d'apprentisage supervisé (machine leaning) afin d'obtenir une nouvelle segmentation et classification sans paramètres. La contribution « biologique » c'est cette nouvelle technique appliquée à la segmentation et la classification de noyaux de differents embryons. Dans cette thèse, je présente une méthode automatique de segmentation et classification appliquée à l'étude de cycle cellulaire de noyaux dans l'embryon pour des images de microscopie 3D/4D. Ce qui permet aux biologistes d'étudier comment les cellules s'organisent spatialement et temporellement à l'intérieur de l'embryon, et de quantifier l'effet des perturbations génétiques et des médicaments. Dans cette thèse, deux nouvelles techniques de segmentation supervisée se basant sur l'apprentissage d'objects prédéfinis sont présentées. La première technique supervisée de segmentation dévéloppée est la composition de machine learning et de seuillage iteratif (seuillage montant). Pour chaque seuil, les objets détéctés passent par la classification. À la fin du seuillage, afin de trouver le meilleur seuil pour chaque objet, le seuil qui donne la plus haute probablité d' appartenance dans la classe stabilisée est pris. Cette technique a donné des résultats relativement bons sur 3 modèles différents d'image malgré la présence de variations d'intensité temporelle et spatiale. Dans la même prespective, une autre technique se basant sur une croissance de region (watershes descendant) a été développée pour surmonter les cas où noyaux de cellule se touchent et présentent des intensités inhomogènes. La technique est basée sur la croissance des région à partir des maximum locaux. Une fois que les régions se réunissent, des combinaisons de régions sont créées et la combinaision qui à la plus haute probablité d' appartenance aux classes d'objets prédéfinis. L'originalité de cette thèse est ; 1- la combinaision de segmentation et classification dans un processus unique. 2- la généricité du modèle de segmentation et classification étant applicable à des images de modèles biologiques différents. 3- l' fait de ne pas de necessité de réglage de paramètres ( Parameter-free )
Image segmentation, being the main challenge in image analysis that deals with extraction of quantitative information. Segmentation partitions an image into a number of separate regions which might correspond to objects in the image. The simplest technique is thresholding, by considering a threshold below which pixels/voxels are assumed as background. Finding optimal threshold is critical; if the threshold is very low, the observed nuclei in fluorescent image are touching and requires a post-processing, on the other hand, with very high threshold, nuclei with low intensities will be deleted. Afterwards, qualitative information can be extracted directly from segmented image. However, in order to give more meaning to detected objects, these objects can be assigned to predefined classes. This challenge is carried out in this thesis through an automatic method of segmentation and classification which was applied to the study of cell cycle of nuclei in 3D/4D embryo microscopy images. Our method ensures optimal threshold for each object. In this thesis, we present two new segmentation techniques which are based on supervised learning of predefined classes of objects. The first technique of supervised segmentation is realized by combining machine learning and iterative thresholding (bottom-up thresholding). For each threshold, the detected objects will be classified. At the end of thresholding, to find optimal threshold for each object, the threshold that gives the highest probability of belonging in the stabilized class is taken. This technique was tested on three different datasets and gave good results despite the presence of temporal and spatial variations of intensity. In the same perspective, another technique based on a region-growing (top-down thresholding) approach was developed to overcome overlapping and inhomogeneous cell nuclei problems. This technique is based on region-growth from the local maximum. Once the regions meet, combinations of regions are created and combination that gives the highest membership probability to predefined classes of object is retained. The originality of this work is that segmen- tation and classification are performed simultaneously. The program is also generic and applicable to wide biological datasets, without any parameter (parameter-free)
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Hee, Sonke. "Computational Bayesian techniques applied to cosmology." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/273346.

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This thesis presents work around 3 themes: dark energy, gravitational waves and Bayesian inference. Both dark energy and gravitational wave physics are not yet well constrained. They present interesting challenges for Bayesian inference, which attempts to quantify our knowledge of the universe given our astrophysical data. A dark energy equation of state reconstruction analysis finds that the data favours the vacuum dark energy equation of state $w {=} -1$ model. Deviations from vacuum dark energy are shown to favour the super-negative ‘phantom’ dark energy regime of $w {< } -1$, but at low statistical significance. The constraining power of various datasets is quantified, finding that data constraints peak around redshift $z = 0.2$ due to baryonic acoustic oscillation and supernovae data constraints, whilst cosmic microwave background radiation and Lyman-$\alpha$ forest constraints are less significant. Specific models with a conformal time symmetry in the Friedmann equation and with an additional dark energy component are tested and shown to be competitive to the vacuum dark energy model by Bayesian model selection analysis: that they are not ruled out is believed to be largely due to poor data quality for deciding between existing models. Recent detections of gravitational waves by the LIGO collaboration enable the first gravitational wave tests of general relativity. An existing test in the literature is used and sped up significantly by a novel method developed in this thesis. The test computes posterior odds ratios, and the new method is shown to compute these accurately and efficiently. Compared to computing evidences, the method presented provides an approximate 100 times reduction in the number of likelihood calculations required to compute evidences at a given accuracy. Further testing may identify a significant advance in Bayesian model selection using nested sampling, as the method is completely general and straightforward to implement. We note that efficiency gains are not guaranteed and may be problem specific: further research is needed.
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Книги з теми "Parameter-free technique"

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Kanduč, M., A. Schlaich, E. Schneck, and R. R. Netz. Interactions between biological membranes: theoretical concepts. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198789352.003.0012.

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In this chapter we review the various types of generic (non-specific) forces acting between lipid membranes in an aqueous environment and discuss the underlying mechanisms, with particular focus on the competing roles of enthalpic and entropic contributions. The interaction free energy (or interaction potential) is typically the result of a subtle interplay of several, often antagonistic contributions with comparable magnitude. First, we will briefly introduce the underlying physics of various kinds of surface–surface interactions, starting with theories of van der Waals and undulation interactions, covering electrostatics, depletion, and order–parameter fluctuation effects as well. We then turn our attention to a strong and universal repulsive force at small membrane–membrane separations, namely the hydration interaction. It has been under debate and investigation for decades and is not well captured by continuum approximations, thus here we will mainly rely on atomistic simulation techniques.
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Частини книг з теми "Parameter-free technique"

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Hikita, Shinichi, and Yasuhiro Seto. "Point-and-Click Interface Based on Parameter-Free Eye Tracking Technique Using a Single Camera." In Communications in Computer and Information Science, 608–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39473-7_121.

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Smith, Andrew, and Miles Osborne. "Regularisation Techniques for Conditional Random Fields: Parameterised Versus Parameter-Free." In Lecture Notes in Computer Science, 896–907. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11562214_78.

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S. Essa, Khalid, and Zein E. Diab. "Gravity Anomaly Interpretation Using the R-Parameter Imaging Technique over a Salt Dome." In Gravitational Field [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.105092.

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Rapid imaging technique, so-called “R-parameter”, utilized for interpreting a gravity anomaly profile. The R-parameter based on calculating the correlation factor between the analytic signal of the real anomaly and the analytic signal of the forward anomaly of assumed buried source denoted by simple geometric shapes. The model parameters (amplitude, origin, depth, and shape factor) picked at the maximum value of the R-parameter. The technique has been proved on noise free and noisy numerical example, numerical example showing the impact of interfering sources. Furthermore, the introduced technique has been successfully applied to visualize a salt dome gravity anomaly profile, USA. The obtained results are in good agreement with those reported in the published studies and that with that obtained from drilling.
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Miriyala, Srinivas Soumitri, and Kishalay Mitra. "A Proposal for Parameter-Free Surrogate Building Algorithm Using Artificial Neural Networks." In Handbook of Research on Emergent Applications of Optimization Algorithms, 232–64. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2990-3.ch010.

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Surrogate models, capable of emulating the robust first principle based models, facilitate the online implementation of computationally expensive industrial process optimization. However, the heuristic estimation of parameters governing the surrogate building often renders them erroneous or under-trained. Current work aims at presenting a novel parameter free surrogate building approach, specifically focusing on Artificial Neural Networks. The proposed algorithm implements Sobol sampling plan and intelligently designs the configuration of network with simultaneous estimation of optimal transfer function and training sample size to prevent overfitting and enabling maximum prediction accuracy. A novel Sample Size Determination algorithm based on a potential concept of hypercube sampling technique adds to the speed of surrogate building algorithm, thereby assuring faster convergence. Surrogates models for a highly nonlinear industrial sintering process constructed using the novel algorithm resulted in 7 times faster optimization.
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Miriyala, Srinivas Soumitri, and Kishalay Mitra. "A Proposal for Parameter-Free Surrogate Building Algorithm Using Artificial Neural Networks." In Research Anthology on Artificial Neural Network Applications, 749–82. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-2408-7.ch035.

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Анотація:
Surrogate models, capable of emulating the robust first principle based models, facilitate the online implementation of computationally expensive industrial process optimization. However, the heuristic estimation of parameters governing the surrogate building often renders them erroneous or under-trained. Current work aims at presenting a novel parameter free surrogate building approach, specifically focusing on Artificial Neural Networks. The proposed algorithm implements Sobol sampling plan and intelligently designs the configuration of network with simultaneous estimation of optimal transfer function and training sample size to prevent overfitting and enabling maximum prediction accuracy. A novel Sample Size Determination algorithm based on a potential concept of hypercube sampling technique adds to the speed of surrogate building algorithm, thereby assuring faster convergence. Surrogates models for a highly nonlinear industrial sintering process constructed using the novel algorithm resulted in 7 times faster optimization.
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Dev, Ark, and Mrinal Kanti Sarkar. "Load Frequency Control in Multi-Area Interconnected Power Systems Using Second Order Sliding Mode." In Advances in Environmental Engineering and Green Technologies, 300–336. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-8551-0.ch011.

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The chapter focuses on load frequency control (LFC) problems in multi area power systems using nonlinear second order sliding mode control (NL-SOSMC) under load disturbances and parameter uncertainties. A sudden load disturbance can causes deviation in frequency and tie line power from their schedule value. The main objective of the chapter is to give knowledge about the application of robust control technique mainly sliding mode control (SMC) for load frequency problems. The designed controller ensures finite time convergence of frequency and tie line power deviations with chattering free control signal. The proposed controller confirms better transient and steady state behavior. Furthermore, the controller is validated under matched uncertainty, random step load disturbances, parameter uncertainties, and with nonlinearities in power system like generation rate constraints (GRC) and governor dead band (GDB). The stability of the controller is theoretically proved using Lyapunov candidate function and verified using simulations in MATLAB R2015a.
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Abdelsabour Fahmy, Mohamed. "Boundary Element Modeling and Simulation Algorithm for Fractional Bio-Thermomechanical Problems of Anisotropic Soft Tissues." In Recent Developments in the Solution of Nonlinear Differential Equations. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96268.

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The main purpose of this chapter is to propose a novel boundary element modeling and simulation algorithm for solving fractional bio-thermomechanical problems in anisotropic soft tissues. The governing equations are studied on the basis of the thermal wave model of bio-heat transfer (TWMBT) and Biot’s theory. These governing equations are solved using the boundary element method (BEM), which is a flexible and effective approach since it deals with more complex shapes of soft tissues and does not need the internal domain to be discretized, also, it has low RAM and CPU usage. The transpose-free quasi-minimal residual (TFQMR) solver are implemented with a dual-threshold incomplete LU factorization technique (ILUT) preconditioner to solve the linear systems arising from BEM. Numerical findings are depicted graphically to illustrate the influence of fractional order parameter on the problem variables and confirm the validity, efficiency and accuracy of the proposed BEM technique.
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Orde, Sam. "Strain imaging in right ventricle assessment." In Oxford Textbook of Advanced Critical Care Echocardiography, edited by Anthony McLean, Stephen Huang, and Andrew Hilton, 343–50. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198749288.003.0027.

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The right ventricle is now recognized as being integral to cardiac mechanics and analysis of its function is an essential part of any echocardiogram performed in the critically ill patient. However, it has a complex triangular conical shape and is located retrosternally making it difficult to image. Unlike the left ventricle (LV) with its myocardial fibres in many different directions, the right ventricle (RV) has a predominance of longitudinal fibres with most of its movement being in a basal to apex direction. This makes it sensitive to analysis with speckle tracking echocardiography analysis of longitudinal strain: commonly reported as right ventricle free wall strain. Strain is a measure of relative myocardial deformation analysed through tracking of the speckles that make up the myocardium on the two-dimensional B-mode image. It is a postprocessing imaging tool and experience in echocardiography is required before tackling this form of assessment. Strain is sensitive, reproducible, angle independent, not prone to translational error like other conventional echocardiography tools and most importantly can recognize cardiac dysfunction and mechanics that cannot be described by other non-invasive imaging techniques. No echocardiography parameter used to assess right ventricle function is perfect, including right ventricle strain assessment. However its advantages are witnessed by the fact that it has entered clinical practice (exclusively to cardiology departments at this stage) in many larger centres around the world.
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Hoffmann, Roald. "Under the Surface of the Chemical Article." In Roald Hoffmann on the Philosophy, Art, and Science of Chemistry. Oxford University Press, 2012. http://dx.doi.org/10.1093/oso/9780199755905.003.0018.

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You open an issue of a modem chemical periodical, say the important German Angewandte Chemie or the Journal of the American Chemical Society, and what do you see? Riches upon riches: reports of new discoveries, marvelous molecules, unmakeable, unthinkable yesterday—made today, reproducibly, with ease. The chemist reads of the incredible properties of novel high-temperature superconductors, organic ferromagnets, and supercritical solvents. New techniques of measurement, quickly equipped with acronyms—EXAFS, INEPT, COCONOESY—allow you to puzzle out more expeditiously the structure of what you make. Information just flows. No matter if it’s in German, if it’s in English. It’s chemistry—communicated, exciting, alive. Let’s, however, take another perspective. To the pages of the same journal turns a humanist, a perceptive, intelligent observer who has grappled with Shakespeare, Pushkin, Joyce, and Paul Celan. I have in mind a person who is interested in what is being written, and also in how and why it is written. My observer notes in the journal short articles, a page to ten pages in length. She notes an abundance of references, trappings familiar to literary scholars, but perhaps in greater density (number of references per line of text) than in scholarly texts in the humanities. She sees a large proportion of the printed page devoted to drawings. Often these seem to be pictures of molecules, yet they are curiously iconic, lacking complete atom designations. The chemist’s representations are not isometric projections, nor real perspective drawings, yet they are partially three-dimensional. My curious observer reads the text, perhaps defocusing from the jargon, perhaps penetrating it with the help of a chemist friend. She notes a ritual form. The first sentences often begin: “The structure, bonding and spectroscopy of molecules of type X have been subjects of intense interest.a-z” There is general use of the third person and a passive voice. She finds few overtly expressed personal motivations, and few accounts of historical development. Here and there in the neutered language she glimpses stated claims of achievement or priority—“a novel metabolite,” “the first synthesis,” “a general strategy,” “parameter-free calculations.”
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Тези доповідей конференцій з теми "Parameter-free technique"

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Fadhil, Hilal A., Hamza M. R. Al-Khafaji, Haider J. Abd, and S. A. Aljunid. "New priority-based parameter optimization technique for free space optics under bad weather conditions." In 2012 IEEE 3rd International Conference on Photonics (ICP). IEEE, 2012. http://dx.doi.org/10.1109/icp.2012.6379822.

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Yonezawa, Ansei, Heisei Yonezawa, and Itsuro Kajiwara. "Experimental Verification of Model-Free Vibration Control Technique Based on a Virtual Controlled Object Considering Actuator Parameter Uncertainty." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-69100.

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Abstract This study proposes a novel model-free vibration controller based on a virtual controlled object (VCO) considering actuator parameter uncertainty. A proof-mass actuator, which is modeled as a single-degree-of-freedom (SDOF) system, is employed. A VCO, which is defined as an SDOF system, is inserted between the actual controlled object and the actuator model. Considering frequency transfer characteristic from actual controlled object to VCO, setting appropriate parameters of the VCO realizes model-free control. A state equation to design the model-free controller is derived based on the two-degree-of-freedom (2DOF) system composed of the actuator model and the VCO. The actuator parameter uncertainty is quantitatively modeled in the 2DOF plant. Traditional mixed H2/H∞ control theory is applied for the uncertain plant to design a model-free controller with high damping performance and robustness to the actuator uncertainty. The effectiveness of the proposed controller is confirmed by vibration control experiments.
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Lima, Daniele Ronso, Cynthia Junqueira, Mario A. R. Canto, and Antonio C. Migliano. "Accuracy of GRL calibration considering time domain gating for the calculation of permittivity parameter in free space technique." In 2015 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC). IEEE, 2015. http://dx.doi.org/10.1109/imoc.2015.7369195.

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Schmidt, C., G. Lichtenberg, W. Koprek, W. Jalmuzna, H. Werner, and S. Simrock. "Parameter estimation and tuning of a multivariable RF controller with FPGA technique for the Free Electron Laser FLASH." In 2008 American Control Conference (ACC '08). IEEE, 2008. http://dx.doi.org/10.1109/acc.2008.4586869.

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Ebeigbe, Donald, and Dan Simon. "A Passivity-Based Regressor-Free Adaptive Controller for Robot Manipulators With Combined Regressor/Parameter Estimation." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-9010.

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Анотація:
This paper develops a new function approximation technique (FAT)-based adaptive controller for the control of rigid robots called the adaptive passivity function approximation technique (APFAT) controller. This controller utilizes the passivity-based approach and simplifies the FAT controller design by eliminating the need for simultaneous estimation of the robot’s inertia matrix, Coriolis matrix, and gravity vector. The controller achieves its simplicity by treating the product of the regressor matrix and parameter vector as an unknown time-varying function to be approximated. The controller can be implemented in robots where the dynamic equations of motion are unknown. The stability of the controller is verified with Lyapunov functions by taking advantage of the passivity property of the robot dynamics. Simulation results on a three degree-of-freedom (DOF) PUMA500 robot demonstrate the ability to track reference trajectories using reasonable control signals when the inertia matrix, Coriolis matrix, and gravity vector are unavailable.
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Ding, Hongli, Bingen Yang, Houfei Fang, and Michael Lou. "Wrinkling and Free Vibration of Catenary-Supported Thin Membranes." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85089.

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This paper is concerned with the wrinkling and free vibration analysis of catenary supported membranes. In the development, the use is made of a two-variable-parameter (2VP) model for the thin-film membrane, and tensioned bar model for the catenary support. The entire membrane structure is assembled through reinforcement of a shear-free constraint between the membrane and the supporting catenary, which leads to a global dynamic equation governing the free vibration of the catenary-supported membrane. The natural frequencies and modes shapes of the membrane are then computed. The proposed modeling and solution technique is illustrated in a numerical example.
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Sari, Ma’en, Morad Nazari, and Eric A. Butcher. "Free Vibration Analysis of Kirchhoff Plates With Damaged Boundaries by the Chebyshev Collocation and Perturbation Methods." In ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2010. http://dx.doi.org/10.1115/smasis2010-3700.

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In order to compare numerical and analytical results for the free vibration analysis of Kirchoff plates with both mixed and damaged boundaries, the Chebyshev collocation and perturbation methods are utilized in this paper, where the damaged boundaries are represented by distributed translational and torsional springs. In the Chebyshev collocation method, the convergence studies are performed to determine the sufficient number of the grid points used. In the analytical method, the small perturbation parameter is defined in terms of the damage parameter of the plate, and a sequence of recurrent linear boundary value problems is obtained which is further solved by the separation of variables technique. The results of the two methods are in good agreement for small values of the damage parameter as well as with the results in the literature for the undamaged case. This study can lead to an efficient technique for structural health monitoring (SHM).
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Barhorst, Alan A., and Louis J. Everett. "Obtaining the Minimal Set of Hybrid Parameter Differential Equations for Mechanisms." In ASME 1992 Design Technical Conferences. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/detc1992-0395.

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Abstract Mechanisms are inherently constrained devices. Combining flexibility with mechanisms usually requires using Lagrange multipliers to handle the constraints. The added algebraic or numerical tedium, associated with the Lagrange multipliers, is well documented. Presented in this paper is a technique for obtaining the minimal set of hybrid parameter differential equations for a constrained device. That is, the set of equations that inherently incorporate the constraints. The technique illustrated in this paper is a recently developed hybrid parameter multiple body (HPMB) system modeling methodology. The variational nature of the methodology allows rigorous equation formulation providing not only the complete nonlinear, hybrid differential equations, but also the boundary conditions. The methodology is formulated in the constraint-free subspace of the system’s configuration space, thus Lagrange multipliers are not needed for constrained systems, regardless of the constraint type (holonomic or nonholonomic). To evince the utility of the method, a flexible four bar mechanism is modeled. Particularly, the inversion of the slider crank found in the quick return mechanism. A comparison of Hamilton’s principle and the described technique, as they are applied to the mechanism, is included. It is shown that the same equations result from either method, but the new technique is much more concise, more efficiently handles the constraints, and requires less algebraic tedium.
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Alexandrov, Sergei, Ken-Ichi Manabe, and Tsuyoshi Furushima. "Development of Free Surface Roughness in Expanding/Contracting Cylinders." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59138.

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Microforming is a modern technology for fabricating very small metallic parts, such as micro-tubes, required in many sectors of industry. Free surface roughness of such components is a very important parameter since the roughness can be considered as the variation of component dimensions in this case. It is therefore of importance to understand an effect of process parameters and parameters of material models used to describe the evolution of roughness on the final result of theoretical predictions. To this end, it is possible to study the solution behavior of a simple problem even if it is not feasible for experimental verification. In the present paper, the solution to a classical problem of plasticity, expansion/contraction of a hollow cylinder, is combined with a finite element technique to predict the evolution of roughness at the free surface.
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Allevato, Adam, Mitch Pryor, and Andrea L. Thomaz. "Multiparameter Real-World System Identification Using Iterative Residual Tuning." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22734.

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Abstract In this work we consider the problem of nonlinear system identification, using data to learn multiple and often coupled parameters that allow a simulator to more accurately model a physical system and close the so-called reality gap for more accurate robot control. Our approach uses iterative residual tuning (IRT), a recently-developed derivative-free system identification technique that utilizes neural networks and visual observation to estimate parameter differences between a proposed model and a target model. We develop several modifications to the basic IRT approach and apply it to the system identification of a 5-parameter model of a marble rolling in a robot-controlled labyrinth game mechanism. We validate our technique both in simulation — where we outperform two baselines — and on a real system, where we achieve marble tracking error of 4.02% after just 5 optimization iterations.
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