Добірка наукової літератури з теми "Component-wise Models"

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Статті в журналах з теми "Component-wise Models"

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Schmid, Matthias, and Torsten Hothorn. "Boosting additive models using component-wise P-Splines." Computational Statistics & Data Analysis 53, no. 2 (December 2008): 298–311. http://dx.doi.org/10.1016/j.csda.2008.09.009.

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Reddy, Chandan K., and Bala Rajaratnam. "Learning mixture models via component-wise parameter smoothing." Computational Statistics & Data Analysis 54, no. 3 (March 2010): 732–49. http://dx.doi.org/10.1016/j.csda.2009.04.012.

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Proietti, Tommaso. "Component-wise Representations of Long-memory Models and Volatility Prediction." Journal of Financial Econometrics 14, no. 4 (April 25, 2016): 668–92. http://dx.doi.org/10.1093/jjfinec/nbw004.

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GUNDERSON, R. W., and R. CANFIELD. "PIECE-WISE MULTILINEAR PREDICTION FROM FCV DISJOINT PRINCIPAL COMPONENT MODELS∗." International Journal of General Systems 16, no. 4 (May 1990): 373–83. http://dx.doi.org/10.1080/03081079008935089.

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Carrera, Erasmo, and Alfonso Pagani. "Free vibration analysis of civil engineering structures by component-wise models." Journal of Sound and Vibration 333, no. 19 (September 2014): 4597–620. http://dx.doi.org/10.1016/j.jsv.2014.04.063.

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Feng, Lei, Susu Zhu, Chu Zhang, Yidan Bao, Pan Gao, and Yong He. "Variety Identification of Raisins Using Near-Infrared Hyperspectral Imaging." Molecules 23, no. 11 (November 8, 2018): 2907. http://dx.doi.org/10.3390/molecules23112907.

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Анотація:
Different varieties of raisins have different nutritional properties and vary in commercial value. An identification method of raisin varieties using hyperspectral imaging was explored. Hyperspectral images of two different varieties of raisins (Wuhebai and Xiangfei) at spectral range of 874–1734 nm were acquired, and each variety contained three grades. Pixel-wise spectra were extracted and preprocessed by wavelet transform and standard normal variate, and object-wise spectra (sample average spectra) were calculated. Principal component analysis (PCA) and independent component analysis (ICA) of object-wise spectra and pixel-wise spectra were conducted to select effective wavelengths. Pixel-wise PCA scores images indicated differences between two varieties and among different grades. SVM (Support Vector Machine), k-NN (k-nearest Neighbors Algorithm), and RBFNN (Radial Basis Function Neural Network) models were built to discriminate two varieties of raisins. Results indicated that both SVM and RBFNN models based on object-wise spectra using optimal wavelengths selected by PCA could be used for raisin variety identification. The visualization maps verified the effectiveness of using hyperspectral imaging to identify raisin varieties.
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McBane, Sean, Youngsoo Choi, and Karen Willcox. "Stress-constrained topology optimization of lattice-like structures using component-wise reduced order models." Computer Methods in Applied Mechanics and Engineering 400 (October 2022): 115525. http://dx.doi.org/10.1016/j.cma.2022.115525.

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Viglietti, A., E. Zappino, and E. Carrera. "Free vibration analysis of locally damaged aerospace tapered composite structures using component-wise models." Composite Structures 192 (May 2018): 38–51. http://dx.doi.org/10.1016/j.compstruct.2018.02.054.

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Petrolo, Marco, and Erasmo Carrera. "High-Fidelity and Computationally Efficient Component-Wise Structural Models: An Overview of Applications and Perspectives." Applied Mechanics and Materials 828 (March 2016): 175–96. http://dx.doi.org/10.4028/www.scientific.net/amm.828.175.

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The Component-Wise approach (CW) is a novel structural modeling strategy that stemmed from the Carrera Unified Formulation (CUF). This work presents an overview of the enhanced capabilities of the CW for the static and dynamic analysis of structures, such as aircraft wings, civil buildings, and composite plates. The CW makes use of the advanced 1D CUF models. Such models exploit Lagrange polynomial expansions (LE) to model the displacement field above the cross-section of the structure. The use of LE allows the improvement of the 1D model capabilities. LE models provide 3D-like accuracies with far fewer computational costs. The use of LE leads to the CW. Although LE are 1D elements, every component of an engineering structure can be modeled via LE elements independently of their geometry, e.g. 2D transverse stiffeners and panels, and of their scale, e.g. fiber/matrix cells. The use of the same type of finite elements facilitates the finite element modeling to a great extent. For instance, no interface techniques are necessary. Moreover, in a CW model, the displacement unknowns are placed along the physical surfaces of the structure with no need for artificial lines and surfaces. Such a feature is promising in a CAD/FEM coupling scenario. The CW approach can be considered as an accurate and computationally cheap analysis tool for many structural problems. Such as progressive failure analyses, multiscale, impact problems and health-monitoring.
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Yamada, Tomonori, Noriyuki Kushida, Fumimasa Araya, Akemi Nishida, and Norihiro Nakajima. "Component-Wise Meshing Approach and Evaluation of Bonding Strategy on the Interface of Components for Assembled Finite Element Analysis of Structures." Key Engineering Materials 452-453 (November 2010): 701–4. http://dx.doi.org/10.4028/www.scientific.net/kem.452-453.701.

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Анотація:
The finite elements are extensively utilized to solve various problems in engineering fields with the growth of computing technologies. However, there is a lack of methodology for analyses of huge assembled structures. The mechanics on the interface of each components, for instance, contact, bolt joint and welding in assembly is a key issue for important huge structure such as nuclear power plants. On the other hand, it is well known that as finite element models become large and complex, construction of detailed mesh becomes a bottleneck in the CAE procedures. To solve these problems, the authors would like to introduce component-wise meshing approach and bonding strategy on the interface of components. In order to assemble component-wise meshes, the penalty method is introduced not only to constrain the displacements, but also to introduce classical spring connection on the joint interface, although penalty method is claimed that it is not suitable for iterative solver. In this paper, the convergence performance of an iterative solver with penalty method is investigated and the detailed component-wise distributed computation scheme is described with numerical examples.
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Частини книг з теми "Component-wise Models"

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Nozaki, Junto, Kei Hiroi, Katsuhiko Kaji, and Nobuo Kawaguchi. "Compensation Scheme for PDR Using Component-Wise Error Models." In Human Activity Sensing, 29–46. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13001-5_3.

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Obzherin, Yuriy E., Stanislav M. Sidorov, and Mikhail M. Nikitin. "Hidden Markov Model of Information System with Component-Wise Storage Devices." In Distributed Computer and Communication Networks, 354–64. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36614-8_27.

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Suganthi, J., B. Nagarajan, and S. Muhtumari. "Network Anomaly Detection Using Hybrid Deep Learning Technique." In Advances in Parallel Computing Algorithms, Tools and Paradigms. IOS Press, 2022. http://dx.doi.org/10.3233/apc220014.

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Deep learning based intrusion detection system has acquired prominence in digital protection frameworks. The fundamental component of such a framework is to give an assurance to the ICT foundation in the interruption recognition framework (IDS). Wise arrangements are exceptionally essential and expected to control the intricacy and identification of new assault types. The smart frameworks, for example, Deep learning and Machine learning have broadly been acquainted with its advantages with actually manage intricate and layered information.The IDS has various types of known and unknown attacks, however there is a chance to improve the detection of attacks on implementing in real case scenario. Thus, this paper proposes a hybrid deep learning technique that combines convolutional neural network model with Long short term memory model to improvise the performance in recognizing the anomaly packets in the network. Experimentation has been carried out with NSL KDD dataset and the performances are compared with the traditional machine and deep learning models in terms of common metrics such as accuracy, sensitivity and specificity.
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Thiagarajan, P. S., and Shaofa Yang. "A Theory of Distributed Markov Chains." In A Mosaic of Computational Topics: from Classical to Novel. IOS Press, 2020. http://dx.doi.org/10.3233/stal200016.

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We present the theory of distributed Markov chains (DMCs). A DMC consists of a collection of communicating probabilistic agents in which the synchronizations determine the probability distribution for the next moves of the participating agents. The key feature of a DMC is that the synchronizations are deterministic, in the sense that any two simultaneously enabled synchronizations involve disjoint sets of agents. Using our theory of DMCs we show how one can analyze the behavior using the interleaved semantics of the model. A key point is, the transition system which defines the interleaved semantics is—except in degenerate cases—not a Markov chain. Hence one must develop new techniques to analyze these behaviors exhibiting both concurrency and stochasticity. After establishing the core theory we develop a statistical model checking procedure which verifies the dynamical properties of the trajectories generated by the the model. The specifications consist of Boolean combinations of component-wise bounded linear time temporal logic formulas. We also provide a probabilistic Petri net representation of DMCs and use it to derive a probabilistic event structure semantics.
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Тези доповідей конференцій з теми "Component-wise Models"

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Reddy, Chandan K., and Bala Rajaratnam. "Component-wise parameter smoothing for learning mixture models." In 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761684.

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KALEEL, IBRAHIM, MANISH NAGARAJ, MARCO PETROLO, ERASMO CARRERA, and ANTHONY M. WAAS. "An Efficient Multiscale Virtual Testing Platform for Composite Via Component-wise Models." In American Society for Composites 2018. Lancaster, PA: DEStech Publications, Inc., 2018. http://dx.doi.org/10.12783/asc33/25959.

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Carrera, E., A. Pagani, and M. Petrolo. "Static and Dynamic Analysis of Aircraft Structures by Component-Wise Approach." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-63600.

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Анотація:
This paper proposes an advanced approach to the analysis of reinforced-shell aircraft structures. This approach, denoted as Component-Wise (CW), is developed by using the Carrera Unified Formulation (CUF). CUF is a hierarchical formulation allowing for the straightforward implementation of any-order one-dimensional (1D) beam theories. Lagrange-like polynomials are used to discretize the displacement field on the cross-section of each component of the structure. Depending on the geometrical and material characteristics of the component, the capabilities of the model can be enhanced and the computational costs can be kept low through smart discretization strategies. The global mathematical model of complex structures (e.g. wings or fuselages) is obtained by assembling each component model at the cross-section level. Next, a classical 1D finite element (FE) formulation is used to develop numerical applications. It is shown that MSC/PATRAN can be used as pre- and post-processor for the CW models, whereas MSC/NASTRAN DMAP alters can be used to solve both static and dynamic problems. A number of typical aeronautical structures are analyzed and CW results are compared to classical beam theories (Euler-Bernoulli and Timoshenko), refined models and classical solid/shell FE solutions from the commercial code MSC/NASTRAN. The results highlight the enhanced capabilities of the proposed formulation. In fact, the CW approach is clearly the natural tool to analyze wing structures, since it leads to results that can be only obtained through three-dimensional elasticity (solid) elements whose computational costs are at least one-order of magnitude higher than CW models.
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Viglietti, Andrea, Enrico Zappino, and Erasmo Carrera. "A Component-Wise Approach for the Failure of Complex Aeronautical Structures." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71249.

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Анотація:
Using advanced beam models based on the Carrera Unified Formulation, this paper presents an analysis of a damaged tapered aircraft structure. Results obtained from static and free vibration analyses are presented to evaluate the evolution of the stress and the modal behaviour in a multi-component damaged structure. This 1-D model is able to modify the material proprieties, then the stiffness, at the local level. In this way, many types of local and global damage can be introduced into the structure. The results show the capability of the present model to obtain with a low computational cost, displacements, stresses and vibration characteristics of damaged structures making him a good candidate for design and maintenance tools.
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Carrera, E., A. Pagani, P. H. Cabral, A. Prado, and G. Silva. "Component-Wise Models for the Accurate Dynamic and Buckling Analysis of Composite Wing Structures." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-65645.

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Анотація:
In the present work, a higher-order beam model able to characterize correctly the three-dimensional strain and stress fields with minimum computational efforts is proposed. One-dimensional models are formulated by employing the Carrera Unified Formulation (CUF), according to which the generic 3D displacement field is expressed as the expansion of the primary mechanical variables. In such a way, by employing a recursive index notation, the governing equations and the related finite element arrays of arbitrarily refined beam models can be written in a very compact and unified manner. A Component-Wise (CW) approach is developed in this work by using Lagrange polynomials as expanding cross-sectional functions. By using the principle of virtual work and CUF, free vibration and linearized buckling analyses of composite aerospace structures are investigated. The capabilities of the proposed methodology and the advantages over the classical methods and state-of-the-art tools are widely demonstrated by numerical results.
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Cavallo, Tommaso, Alfonso Pagani, Enrico Zappino, and Erasmo Carrera. "A Component-Wise Approach to Analyse a Composite Launcher Structure Subjected to Loading Factor." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66696.

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Анотація:
The space structures are realized by combining skin and reinforced components, such as longitudinal reinforcements called stringers and transversal reinforcements called ribs. These reinforced structures allow two main design requirements to be satisfied, the former is the light weight and the latter is a high strength. Solid models (3D) are widely used in the Finite Element Method (FEM) to analyse space structures because they have a high accuracy, in contrast they also have a high number of degrees of freedoms (DOFs) and huge computational costs. For these reasons the one-dimensional models (1D) are gaining success as alternative to 3D models. Classical models, such as Euler-Bernoulli or Timoshenko beam theories, allow the computational cost to be reduced but they are limited by their assumptions. Different refined models have been proposed to overcome these limitations and to extend the use of 1D models to the analysis of complex geometries or advanced materials. In this work very complex space structures are analyzed using 1D model based on the Carrera Unified Formulation (CUF). The free-vibration analysis of isotropic and composite structures are shown. The effects of the loading factor on the natural frequencies of an outline of launcher similar to the Arian V have been investigated. The results highlight the capability of the present refined one-dimensional model to reduce the computational costs without reducing the accuracy of the analysis.
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Viswanathan, Karthik, Sagar Chowdhury, and Zahed Siddique. "Shape Comparison of 3D Models Based on Features and Parameters." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49948.

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Анотація:
Computer-Aided Design (CAD) is used extensively during mechanical product design, which involves creating 3D models of components and then assembling them into modules and systems. Methods and tools to compare components and identify a common platform using these 3D CAD models of components would facilitate faster specification of product family architecture. Hence, there is a need to develop means for comparing component geometry, in order to identify the common and distinct features, determine component commonality, and identify a common platform for the set of components. This paper presents an approach to determine geometric commonality between components from their 3D solid models. The approach consists of performing a pair-wise comparison between components. To measure commonality for a pair of components, first all feature-pair’s dimensions and positions are measured, which then combined to give the overall component-pair commonality.
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Kaleel, Ibrahim, Marco Petrolo, Erasmo Carrera, and Anthony M. Waas. "Micromechanical Progressive Failure Analysis of Fiber-Reinforced Composite Using Refined Beam Models." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71304.

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Анотація:
An efficient and novel micromechanical computational platform for progressive failure analysis of fiber reinforced composites is presented. The numerical framework is based on a class of refined beam models called Carrera Unified Formulation (CUF), a generalized hierarchical formulation which yields a refined structural theory via variable kinematic description. The crack band theory is implemented in the framework to capture the damage propagation within the constituents of composite materials. A representative volume element (RVE) containing randomly distributed fibers is modeled using the Component-Wise approach (CW), an extension of CUF beam model based on Lagrange type polynomials. The efficiency of the proposed numerical framework is achieved through the ability of the CUF models to provide accurate three-dimensional displacement and stress fields at a reduced computational cost.
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Viglietti, Andrea, Enrico Zappino, and Erasmo Carrera. "High-Fidelity One-Dimensional Models for Tapered Structures Analyses." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66681.

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Анотація:
This paper presents the static analysis of tapered structures made of composite material using 1D models. These models are based on a one-dimensional formulation derived using the Carrera Unified Formulation (CUF). This formulation allows us to obtain 3D-like results thanks to the use of polynomial expansions to describe the displacement field over the cross-section. According to the types of expansion used, different classes of refined one-dimensional elements are obtained. In this work the Lagrange expansions were used. The use of LE models allows each structural component to bo considered separately; this approach is called component wise (CW). The thin-walled structures are usually made of composite materials, in particular, the aeronautical structures. For this reason, these kinds of structures are taken into account. The stress and displacement fields due to simple load cases have been obtained. The results have been compared with those obtained using commercial tools. The results show the capability of the present refined one-dimensional models to achieve results usually obtained by the use of solid models and therefore, with higher computational cost.
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PAGANI, ALFONSO, ALBERTO RACIONERO SANCHEZ-MAJANO, and IGNACIO SANCHEZ ZARATE. "MECHANICAL PERFORMANCE OF VARIABLE STIFFNESS PLATES SUBJECTED TO MULTISCALE DEFECTS." In Thirty-sixth Technical Conference. Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/asc36/35787.

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Анотація:
Novel manufacturing techniques that have arisen during the last decades have permitted to improve both the manufacturing quality and performance of laminates parts. Despite these improvements, such manufactured parts are not flaw-exempt, since uncertainty in the fabrication processes and in the material properties are still present. At the same time, numerical models that allow to describe the ground truth designs have been developed. Nevertheless, some defects have not been studied yet. This work aims to analyze the influence of spatially varying microscale defects on the mechanical performance of variable stiffness plates at both microscale and macroscale level. Attention has been paid to the usage of component-wise and layer-wise modeling, based on the Carrera Unified Formulation, to study the stochastic response of the micromechanical stresses and the macroscale buckling performance, respectively.
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