Auswahl der wissenschaftlichen Literatur zum Thema „Domain-transfer problem“

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Zeitschriftenartikel zum Thema "Domain-transfer problem"

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Bassok, Miriam. „Transfer of domain-specific problem-solving procedures.“ Journal of Experimental Psychology: Learning, Memory, and Cognition 16, Nr. 3 (Mai 1990): 522–33. http://dx.doi.org/10.1037/0278-7393.16.3.522.

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Bejiga, Mesay Belete, Farid Melgani und Pietro Beraldini. „Domain Adversarial Neural Networks for Large-Scale Land Cover Classification“. Remote Sensing 11, Nr. 10 (14.05.2019): 1153. http://dx.doi.org/10.3390/rs11101153.

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Learning classification models require sufficiently labeled training samples, however, collecting labeled samples for every new problem is time-consuming and costly. An alternative approach is to transfer knowledge from one problem to another, which is called transfer learning. Domain adaptation (DA) is a type of transfer learning that aims to find a new latent space where the domain discrepancy between the source and the target domain is negligible. In this work, we propose an unsupervised DA technique called domain adversarial neural networks (DANNs), composed of a feature extractor, a class predictor, and domain classifier blocks, for large-scale land cover classification. Contrary to the traditional methods that perform representation and classifier learning in separate stages, DANNs combine them into a single stage, thereby learning a new representation of the input data that is both domain-invariant and discriminative. Once trained, the classifier of a DANN can be used to predict both source and target domain labels. Additionally, we also modify the domain classifier of a DANN to evaluate its suitability for multi-target domain adaptation problems. Experimental results obtained for both single and multiple target DA problems show that the proposed method provides a performance gain of up to 40%.
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Kangro, Ilmārs, Harijs Kalis, Ērika Teirumnieka und Edmunds Teirumnieks. „SPECIAL SPLINE APPROXIMATION FOR THE SOLUTION OF THE NON-STATIONARY 3-D MASS TRANSFER PROBLEM“. ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference 2 (17.06.2021): 69–73. http://dx.doi.org/10.17770/etr2021vol2.6577.

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In this paper we consider the conservative averaging method (CAM) with special spline approximation for solving the non-stationary 3-D mass transfer problem. The special hyperbolic type spline, which interpolates the middle integral values of piece-wise smooth function is used. With the help of these splines the initial-boundary value problem (IBVP) of mathematical physics in 3-D domain with respect to one coordinate is reduced to problems for system of equations in 2-D domain. This procedure allows reduce also the 2-D problem to a 1-D problem and thus the solution of the approximated problem can be obtained analytically. The accuracy of the approximated solution for the special 1-D IBVP is compared with the exact solution of the studied problem obtained with the Fourier series method. The numerical solution is compared with the spline solution. The above-mentioned method has extensive physical applications, related to mass and heat transfer problems in 3-D domains.
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Kalis, H., und I. Kangro. „SIMPLE METHODS OF ENGINEERING CALCULATION FOR SOLVING HEAT TRANSFER PROBLEMS“. Mathematical Modelling and Analysis 8, Nr. 1 (31.03.2003): 33–42. http://dx.doi.org/10.3846/13926292.2003.9637208.

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There are well-known numerical methods for solving the initial‐boundary value problems for partial differential equations. We mention only some of them: finite difference method (FDM), finite element method (FEM), boundary element method (BEM), Galerkin type methods and others. In the given work FDM and BEM are considered for determination a distribution of heat in the multilayer media. These methods were used for the reduction of the 1D heat transfer problem described by a partial differential equation to an initial‐value problem for a system of ordinary differential equations (ODEs). Such a procedure allows us to obtain a simple engineering algorithm for solving heat transfer equation in multilayered domain. In a stationary case the exact finite difference scheme is obtained. An inverse problem is also solved. The heat transfer coefficients are found and temperatures in the interior layers depending on the given temperatures inside and outside of a domain are obtained.
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KLAR, A., und N. SIEDOW. „Boundary layers and domain decomposition for radiative heat transfer and diffusion equations: applications to glass manufacturing process“. European Journal of Applied Mathematics 9, Nr. 4 (August 1998): 351–72. http://dx.doi.org/10.1017/s0956792598003490.

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In this paper domain decomposition methods for radiative transfer problems including conductive heat transfer are treated. The paper focuses on semi-transparent materials, like glass, and the associated conditions at the interface between the materials. Using asymptotic analysis we derive conditions for the coupling of the radiative transfer equations and a diffusion approximation. Several test casts are treated and a problem appearing in glass manufacturing processes is computed. The results clearly show the advantages of a domain decomposition approach. Accuracy equivalent to the solution of the global radiative transfer solution is achieved, whereas computation time is strongly reduced.
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Tan, Chuanqi, Fuchun Sun, Bin Fang, Tao Kong und Wenchang Zhang. „Autoencoder-based transfer learning in brain–computer interface for rehabilitation robot“. International Journal of Advanced Robotic Systems 16, Nr. 2 (01.03.2019): 172988141984086. http://dx.doi.org/10.1177/1729881419840860.

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The brain–computer interface-based rehabilitation robot has quickly become a very important research area due to its natural interaction. One of the most important problems in brain–computer interface is that large-scale annotated electroencephalography data sets required by advanced classifiers are almost impossible to acquire because biological data acquisition is challenging and quality annotation is costly. Transfer learning relaxes the hypothesis that the training data must be independent and identically distributed with the test data. It can be considered a powerful tool for solving the problem of insufficient training data. There are two basic issues with transfer learning, under transfer and negative transfer. We proposed a novel brain–computer interface framework by using autoencoder-based transfer learning, which includes three main components: an autoencoder framework, a joint adversarial network, and a regularized manifold constraint. The autoencoder framework automatically encodes and reconstructs data from source and target domains and forces the neural network to learn to represent these domains reliably. The joint adversarial network aims to force the network to learn to encode more appropriately for the source domain and target domain simultaneously, thereby overcoming the problem of under transfer. The regularized manifold constraint aims to avoid the problem of negative transfer by avoiding geometric manifold structure in the target domain being destroyed by the source domain. Experiments show that the brain–computer interface framework proposed by us can achieve better results than state-of-the-art approaches in electroencephalography signal classification tasks. This is helpful in aiding our rehabilitation robot to understand the intention of patients and can help patients to carry out rehabilitation exercises effectively.
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Mishuris, Gennady, und Michał Wróbel. „Coupled FEM-BEM Approach for Axisymetrical Heat Transfer Problems“. Defect and Diffusion Forum 273-276 (Februar 2008): 740–45. http://dx.doi.org/10.4028/www.scientific.net/ddf.273-276.740.

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This work deals with a stationary axisymmetrical heat transfer problem in a combined domain. This domain consists of half-space joined with a bounded cylinder. An important feature of the problem is the possible flux singularity along the edge points of the transmission surface. Domain decomposition is used to separate the subdomains. The solution for an auxiliary mixed boundary value problem in the half space is found analytically by means of Hankel integral transform. This allows us to reduce the main problem in the infinite domain to another problem defined in the bounded subdomain. In turn, the new problem contains a nonlocal boundary conditions along the transmission surface. These conditions incorporate all basic information about the infinite sub-domain (material properties, internal sources etc.). The problem is solved then by means of the Finite Element Method. In fact it might be considered as a coupled FEM-BEM approach. We use standard MATLAB PDE toolbox for the FEM analysis. As it is not possible for this package to introduce directly a non-classical boundary condition, we construct an appropriate iterative procedure and show the fast convergence of the main problem solution. The possible solution singularity is taken into account and the corresponding intensity coefficient of the heat flux is computed with a high accuracy. Numerical examples dealing with heat transfer between closed reservoir (filled with some substance) and the infinite foundation are discussed.
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Paul, A., F. Rottensteiner und C. Heipke. „TRANSFER LEARNING BASED ON LOGISTIC REGRESSION“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (19.08.2015): 145–52. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-145-2015.

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In this paper we address the problem of classification of remote sensing images in the framework of transfer learning with a focus on domain adaptation. The main novel contribution is a method for transductive transfer learning in remote sensing on the basis of logistic regression. Logistic regression is a discriminative probabilistic classifier of low computational complexity, which can deal with multiclass problems. This research area deals with methods that solve problems in which labelled training data sets are assumed to be available only for a source domain, while classification is needed in the target domain with different, yet related characteristics. Classification takes place with a model of weight coefficients for hyperplanes which separate features in the transformed feature space. In term of logistic regression, our domain adaptation method adjusts the model parameters by iterative labelling of the target test data set. These labelled data features are iteratively added to the current training set which, at the beginning, only contains source features and, simultaneously, a number of source features are deleted from the current training set. Experimental results based on a test series with synthetic and real data constitutes a first proof-of-concept of the proposed method.
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Yan, Zhenhao, Guifang Liu, Jinrui Wang, Huaiqian Bao, Zongzhen Zhang, Xiao Zhang und Baokun Han. „A New Universal Domain Adaptive Method for Diagnosing Unknown Bearing Faults“. Entropy 23, Nr. 8 (16.08.2021): 1052. http://dx.doi.org/10.3390/e23081052.

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The domain adaptation problem in transfer learning has received extensive attention in recent years. The existing transfer model for solving domain alignment always assumes that the label space is completely shared between domains. However, this assumption is untrue in the actual industry and limits the application scope of the transfer model. Therefore, a universal domain method is proposed, which not only effectively reduces the problem of network failure caused by unknown fault types in the target domain but also breaks the premise of sharing the label space. The proposed framework takes into account the discrepancy of the fault features shown by different fault types and forms the feature center for fault diagnosis by extracting the features of samples of each fault type. Three optimization functions are added to solve the negative transfer problem when the model solves samples of unknown fault types. This study verifies the performance advantages of the framework for variable speed through experiments of multiple datasets. It can be seen from the experimental results that the proposed method has better fault diagnosis performance than related transfer methods for solving unknown mechanical faults.
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Peng, Jian She, Guang Bing Luo und Liu Yang. „Solving Transient Heat Transfer Problems by the Convolution Type Semi-Analytical DQ Method“. Applied Mechanics and Materials 204-208 (Oktober 2012): 4315–19. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.4315.

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The convolution-type Gurtin variational principle is known as the only variational principle that is, from mathematics point of view, totally equivalent to the initial value problem system. In this paper, the governing equation of bars is first transformed to a new equation containing initial conditions by using convolution method. Then, a convolution-type semi-analytical DQ approach, which involves differential quadrature (DQ) approximation in space domain and an analytical series expansion in time domain, is proposed to obtain the transient response solution. The transient heat transfer examples show the proposed method is a very useful and efficient tool in transient heat transfer problems.
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Dissertationen zum Thema "Domain-transfer problem"

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Michel, David. „All Negative on the Western Front: Analyzing the Sentiment of the Russian News Coverage of Sweden with Generic and Domain-Specific Multinomial Naive Bayes and Support Vector Machines Classifiers“. Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447398.

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This thesis explores to what extent Multinomial Naive Bayes (MNB) and Support Vector Machines (SVM) classifiers can be used to determine the polarity of news, specifically the news coverage of Sweden by the Russian state-funded news outlets RT and Sputnik. Three experiments are conducted.  In the first experiment, an MNB and an SVM classifier are trained with the Large Movie Review Dataset (Maas et al., 2011) with a varying number of samples to determine how training data size affects classifier performance.  In the second experiment, the classifiers are trained with 300 positive, negative, and neutral news articles (Agarwal et al., 2019) and tested on 95 RT and Sputnik news articles about Sweden (Bengtsson, 2019) to determine if the domain specificity of the training data outweighs its limited size.  In the third experiment, the movie-trained classifiers are put up against the domain-specific classifiers to determine if well-trained classifiers from another domain perform better than relatively untrained, domain-specific classifiers.  Four different types of feature sets (unigrams, unigrams without stop words removal, bigrams, trigrams) were used in the experiments. Some of the model parameters (TF-IDF vs. feature count and SVM’s C parameter) were optimized with 10-fold cross-validation.  Other than the superior performance of SVM, the results highlight the need for comprehensive and domain-specific training data when conducting machine learning tasks, as well as the benefits of feature engineering, and to a limited extent, the removal of stop words. Interestingly, the classifiers performed the best on the negative news articles, which made up most of the test set (and possibly of Russian news coverage of Sweden in general).
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Shen, Li-Hsuan, und 沈立軒. „Local Differential Quadrature Method for Irregular Domain Problems and Its Application in Fluid Mechanics and Heat Transfer“. Thesis, 2008. http://ndltd.ncl.edu.tw/handle/76081686977219725671.

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博士
國立臺灣大學
土木工程學研究所
97
This study proposes a local differential quadrature (LDQ) algorithm to handle the irregular domain problems and applies it to solve the flow and heat transfer problems. The proposed LDQ method is developed from the classic differential quadrature (DQ) method, a numerical method with high order accuracy and economic efficiency. However the ill-conditioned matrix, sensitive computational mesh and restricted geometry have limited the extensive applications of the conventional DQ method. This study successfully overcomes those above mentioned disadvantages by adopting the localized numerical schemes and a grid cutting technique. The numerical tests of solving the two- and three-dimensional Poisson and Helmholtz equations have verified that the proposed LDQ model maintains the high order accuracy and enhances the economical efficiency of the DQ method. The present model is also extended to apply to the two- and three-dimensional fluid mechanics and heat transfer problems. The good performance of the LDQ method is demonstrated by solving many classical computational fluid dynamics (CFD) problems such as the two- and three-dimensional lid-driven cavity flows, flow around fixed circular cylinder and forced convection problem in backward facing step channel. The applications of two-dimensional channel flow over heating ripple beds and three-dimensional cavity flows with a fixed sphere have also revealed the excellent capability of the proposed LDQ for simulating the flow and heat transfer problems with irregular domains. This investigation also undertakes the techniques of the refining process of meshless computational nodes, and the treatment of moving boundaries related to the proposed model. The proposed LDQ algorithm has also demonstrated the excellent performance to deal with the meshless refining process and moving boundary problems in irregular domains by some numerical experiments.
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Bücher zum Thema "Domain-transfer problem"

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Nesi, Paolo, Kia Ng und Jaime Delgado, Hrsg. Axmedis 2005. Florence: Firenze University Press, 2005. http://dx.doi.org/10.36253/978-88-6453-146-5.

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The AXMEDIS conference aims to promote discussions and interactions among researchers, practitioners, developers and users of tools, technology transfer experts, and project managers, to bring together a variety of participants. The conference focuses on the challenges in the cross-media domain (which include production, protection, management, representation, formats, aggregation, workflow, distribution, business and transaction models), and the integration of content management systems and distribution chains, with particular emphasis on cost reduction and effective solutions for complex cross-domain problems.
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Ng, Kia, Atta Badii und Pierfrancesco Bellini, Hrsg. Axmedis 2006. Proceedings of the 2nd International Conference on Automated Production of Cross Media Content for Multi-channel Distribution. Volume for Workshops, Tutorials, Applications and Industrial (Leeds, UK, 13-15 December 2006). Florence: Firenze University Press, 2006. http://dx.doi.org/10.36253/88-8453-525-5.

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The AxMEDIS 2006 International Conference seeks to promote discussion and exchange of ideas amongst researchers, practitioners, developers and users of tools, technology transfer experts, and project managers. This conference series brings together a variety of participants from the academic, business and industrial worlds, to address the emergent research and technological issues as well as the engineering and commercial challenges of large-scale collaborative production and distribution of media as experienced by the associated industrial sectors in the emergent media markets. The conference focuses on the outstanding problems to be resolved in the new age of media computing including cross-domain production, protection, representation, formatting, aggregation, workflow, distribution and business and transaction models i.e. all lifecycle aspects of the new media value chain management. Additionally it explores the integration of new forms of content, content management systems and distribution chains, with particular emphasis on cost structures re-engineering to support the reduction of costs and the integration of innovative solutions to facilitate complex creative collaboration in cross-domain media production with benefit realisation to all stakeholders through optimised rights-protective multichannel distribution.
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Buchteile zum Thema "Domain-transfer problem"

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Senouf, Ortal, Sanketh Vedula, Tomer Weiss, Alex Bronstein, Oleg Michailovich und Michael Zibulevsky. „Self-supervised Learning of Inverse Problem Solvers in Medical Imaging“. In Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 111–19. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33391-1_13.

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Mikhailov, S. E., und C. F. Portillo. „A New Family of Boundary-Domain Integral Equations for the Mixed Exterior Stationary Heat Transfer Problem with Variable Coefficient“. In Integral Methods in Science and Engineering, Volume 1, 215–26. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59384-5_19.

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Wu, Qiong, Songbo Tan, Miyi Duan und Xueqi Cheng. „A Two-Stage Algorithm for Domain Adaptation with Application to Sentiment Transfer Problems“. In Information Retrieval Technology, 443–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17187-1_43.

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Tang, W., C. A. Brebbia und J. C. F. Telles. „A Generalized Approach to Transfer the Domain Integrals onto Boundary Ones for Potential Problems in BEM“. In Mathematical and Computational Aspects, 99–116. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-662-21908-9_7.

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Fukui, Hideo. „Real Estate and the Legal System of Japan“. In New Frontiers in Regional Science: Asian Perspectives, 3–7. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8848-8_1.

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AbstractIn Part I, entitled Real Estate and the Legal System, we analyze owner-unknown land issues, land acquisitions, and real estate auctions.The use and value of real estate such as land and buildings are significantly affected by public laws and regulations related to urban planning and construction, the environment, and taxation; for example, contract laws such as the Act on Land and Building Leases; private laws regulating torts, collateral enforcement, and so on; tax laws that regulate transfer taxes, ownership taxes, and transaction taxes; and regulations surrounding land use and urban infrastructure development. This paper discusses, therefore, the relationships between these laws and real estate, identifies problems in the laws associated with real estate in Japan, and proposes improvements.First, in recent years, owner-unknown land issues have become a serious concern in Japan. The Japanese registry does not always reflect the actual rightful owner, primarily because such registration is only a perfection requirement in civil law and registration involves a great deal of time and money. For example, because a large extent of land is registered to owners from nearly 100 years ago, it has changed hands many times through inheritance, which means that today, it is extremely difficult to determine the actual owner (inheritor) without spending a great deal of time and money. However, if the profits to be obtained from the land do not justify such expense, the land remains unused as “owner-unknown land.”Buying and selling land under Japanese civil law requires an agreement from all landowners including in the case of shared ownerships; therefore, even if the land has high returns, if it is “owner-unknown land,” it cannot be used effectively. With a focus on unknown-owner land, in this section, four writers provide multifaceted perspectives on the causes thereof, the defects in the current system, and the possible solutions.Eminent domain, the system which allows the acquisition of land against the land owner’s will for public projects, is widely institutionalized in many countries. It works to mitigate the owner-unknown land issues as far as lands are acquired by public projects.Further, real estate auctions are often held when liens are placed on land and/or residences for housing loan defaults. The Japanese civil auction system, which was institutionalized at the end of the nineteenth century, stipulates that a tenancy that is behind on a mortgage may resist a purchase unconditionally as long as the mortgage default period is within 3 years (short-term lease protection system/former Civil Code Article 395). This system was intended to avoid the unstable use of mortgaged properties and to promote the effective use of real estate; however, because the majority of users and the beneficiaries of this system were in fact anti-social groups, it was used to demand money unjustly from debtors and buyers, thus preventing the effective use of the mortgaged properties.When the protection of short-term leases was abolished in 2004, these types of interferences are said to have decreased drastically. However, successful bids for auctioned real estate properties continue to be lower than in general transactions. Therefore, here, we provide a quantitative analysis of these situations and propose further auction system improvements.Below, we introduce the outlines of each theory in Part I.
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„4. The Asymptotic Law of Heat Transfer at Small Velocities in the Finite Domain Problem“. In Selected Works of Yakov Borisovich Zeldovich, Volume I, 78–81. Princeton University Press, 1992. http://dx.doi.org/10.1515/9781400862979.78.

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Chakraverty, S., und S. Nayak. „Fuzzy Finite Element Method in Diffusion Problems“. In Fuzzy Systems, 250–72. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1908-9.ch011.

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Diffusion is an important phenomenon in various fields of science and engineering. It may arise in a variety of problems viz. in heat transfer, fluid flow problem and atomic reactors etc. As such these diffusion equations are being solved throughout the globe by various methods. It has been seen from literature that researchers have investigated these problems when the material properties, geometry (domain) etc. are in crisp (exact) form which is easier to solve. But in real practice the parameters used in the modelled physical problems are not crisp because of the experimental error, mechanical defect, measurement error etc. In that case the problem has to be defined with uncertain parameters and this makes the problem complex. In this chapter related uncertain differential equation of various diffusion problems will be investigated using finite element method, which may be called fuzzy or interval finite element method.
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Chakraverty, S., und S. Nayak. „Fuzzy Finite Element Method in Diffusion Problems“. In Advances in Computational Intelligence and Robotics, 309–28. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4991-0.ch015.

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Diffusion is an important phenomenon in various fields of science and engineering. It may arise in a variety of problems viz. in heat transfer, fluid flow problem and atomic reactors etc. As such these diffusion equations are being solved throughout the globe by various methods. It has been seen from literature that researchers have investigated these problems when the material properties, geometry (domain) etc. are in crisp (exact) form which is easier to solve. But in real practice the parameters used in the modelled physical problems are not crisp because of the experimental error, mechanical defect, measurement error etc. In that case the problem has to be defined with uncertain parameters and this makes the problem complex. In this chapter related uncertain differential equation of various diffusion problems will be investigated using finite element method, which may be called fuzzy or interval finite element method.
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Birukou, Aliaksandr, Enrico Blanzieri und Paolo Giorgini. „Implicit Culture Framework for Behavior Transfer“. In Handbook of Research on Culturally-Aware Information Technology, 213–41. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-61520-883-8.ch010.

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People belong to different communities: business communities, Web 2.0 communities, just to name a few. In this chapter the authors show that experience acquired by people in communities constitute community culture. The authors introduce the problem of culture transfer between or within communities and propose a domain-independent approach for transferring community culture. First, the authors formalize the notion of culture, which includes behavior, knowledge, artifacts, best practices, etc. Second, using this formalism, the authors propose the Implicit Culture Framework, which is an agent-based framework for transferring behavior between community members or between communities. Finally, the authors present and evaluate a system for web service discovery developed using the Implicit Culture Framework.
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Kurubacak, Gulsun, und T. Volkan Yuzer. „Accessibility“. In Developing Successful Strategies for Global Policies and Cyber Transparency in E-Learning, 12–27. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8844-5.ch002.

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Distance experts specializes in the theory of learning and the design of online learning systems from global policies to glocal (global + local) cyber transparency Therefore, a distance experts must be adept at modeling and analyzing problem, and also must be able to design solutions and verify that they are correct that problem solving requires precision, creativity, and careful reasoning. Many problems in communication, education, science, engineering, health care, business, and other areas can be solved effectively with accessibility, but finding a solution requires both expertise and knowledge of the particular application domain. Thus, accessibility often becomes proficient in other subjects that distance learning can combine with in any discipline or industry because the accessibility opportunities for glocal cyber transparency transfer easily to many areas. Mathematicians, scientists and engineers all utilize distance education, but those who work in business, medicine, the humanities, law and education regularly employ the tenets of distance experts as well. In short, common tasks of accessibility include designing and implementing software, creating new uses for technologies, developing solutions to learning problems, and planning management infrastructures. The ability of distance learner in glocal world to adapt to new global policies is inevitably critical.
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Konferenzberichte zum Thema "Domain-transfer problem"

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AR, YILMAZ. „Transitive Associations for Domain Transfer Problem on Opinion Mining“. In Third International Conference on Advances in Information Processing and Communication Technology - IPCT 2015. Institute of Research Engineers and Doctors, 2015. http://dx.doi.org/10.15224/978-1-63248-077-4-101.

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Tan, Songbo, Yuefen Wang, Gaowei Wu und Xueqi Cheng. „Using unlabeled data to handle domain-transfer problem of semantic detection“. In the 2008 ACM symposium. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1363686.1363893.

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Tan, Songbo, Gaowei Wu, Huifeng Tang und Xueqi Cheng. „A novel scheme for domain-transfer problem in the context of sentiment analysis“. In the sixteenth ACM conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1321440.1321590.

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Knupp, Diego C., Carolina P. Naveira Cotta und Renato M. Cotta. „Conjugated Heat Transfer in Micro-Channels With a Single Domain Formulation and Integral Transforms“. In ASME 2012 Third International Conference on Micro/Nanoscale Heat and Mass Transfer. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/mnhmt2012-75287.

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The present work is an extension of a novel methodology recently proposed by the authors for the analytical solution of conjugated heat transfer problems in channel flow, here taking into account the axial diffusion effects which are often of relevance in micro-channels. This methodology is based on a single domain formulation, which is proposed for modeling the heat transfer phenomena at both the fluid stream and the channel walls regions. By making use of coefficients represented as space variable functions, with abrupt transitions occurring at the fluid-wall interface, the mathematical model is fed with the information concerning the transition of the two domains, unifying the model into a single domain formulation with space variable coefficients. The Generalized Integral Transform Technique (GITT) is then employed in the hybrid numerical-analytical solution of the resulting convection-diffusion problem with variable coefficients. When the axial conduction term is included into the formulation, a non-classical eigenvalue problem must be employed in the solution procedure, which is itself handled with the GITT. In order to covalidate the results obtained by means of this solution path, we have also proposed an alternative solution, including a pseudo-transient term, with the aid of a classical Sturm-Liouville eigenvalue problem. The remarkable results demonstrate the feasibility of this single domain approach in handling conjugated heat transfer problems in micro-channels, as well as when fluid axial conduction cannot be neglected.
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Manesco, João Renato, und Aparecido Marana. „Domain Adaptation for Robust Face Recognition Using Transfer Kernel Learning“. In Workshop de Visão Computacional. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/wvc.2020.13482.

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In the last decades, for reasons of safety or convenience, biometric characteristics are increasingly being used to identify individuals who wish to have access to systems or places, and facial features are one of the most used characteristics for this purpose. For biometric identification to be effective, the recognition accuracy rates must be high. However, these rates can be very low depending on the difference (displacement) between the domain of the images stored in the database of the biometric system (source images) and the images used at the moment of identification (target images). In this work, we evaluated the performance of a domain adaptation method called Transfer Kernel Learning (TKL) in the face recognition problem. Results obtained in our experiments on two face datasets, ARFace and FRGC, corroborates that TKL is suitable for domain adaptation and that it is capable of improving significantly the accuracy rates of face recognition, even when considering facial images with occlusions, variations in illumination and complex backgrounds.
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Divo, Eduardo, Alain J. Kassab, Eric Mitteff und Luis Quintana. „A Parallel Domain Decomposition Technique for Meshless Methods Applications to Large-Scale Heat Transfer Problems“. In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56004.

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Mesh reduction methods such as the boundary element methods, method of fundamental solutions or the so-called meshless methods all lead to fully populated matrices. This poses serious challenges for large-scale three-dimensional problems due to storage requirements and iterative solution of a large set of non-symmetric equations. Researchers have developed several approaches to address this issue including the class of fast-multipole techniques, use of wavelet transforms, and matrix decomposition. In this paper, we develop a domain-decomposition, or the artificial sub-sectioning technique, along with a region-by-region iteration algorithm particularly tailored for parallel computation to address the coefficient matrix issue. The meshless method we employ is based on expansions using radial basis functions (RBFs). An efficient physically-based procedure provides an effective initial guess of the temperatures along the sub-domain interfaces. The iteration process converges very efficiently, offers substantial savings in memory, and features superior computational efficiency. The meshless iterative domain decomposition technique is ideally suited for parallel computation. We discuss its implementation under MPI standards on a small Windows XP PC cluster. Numerical results reveal the domain decomposition meshless methods produce accurate temperature predictions while requiring a much-reduced effort in problem preparation in comparison to other traditional numerical methods.
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Erdo¨nmez, Cengiz, und Hasan Saygın. „Conduction Heat Transfer Problem Solution Using the Method of Fundamental Solutions With the Dual Reciprocity Method“. In ASME 2005 Summer Heat Transfer Conference collocated with the ASME 2005 Pacific Rim Technical Conference and Exhibition on Integration and Packaging of MEMS, NEMS, and Electronic Systems. ASMEDC, 2005. http://dx.doi.org/10.1115/ht2005-72566.

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The method of fundamental solutions (MFS) is first proposed in 1964 by Kupradze and theoretical basis of this method is constructed at the end of 1980’s. As a meshless method, no domain meshing is required for MFS. Fundamental solutions are used to solve problems without coping with the singularity on the boundary because of the fictitious boundary defined containing the domain of the problem. In this paper effectiveness of the MFS will be introduced by two test problem for the homogeneous and inhomogeneous modified helmholtz equations. In-homogeneous terms are approximated by using the method of particular solutions through the dual reciprocity method. The conduction heat transfer problem is defined and transformed to the corresponding elliptic partial differential equation by using finite difference and the method of lines method which gives an inhomogeneous helmholtz equation. Then the problem is solved iteratively by using the MFS. Two test problem are solved by both the finite element method (FEM) and MFS and compared in the figures. It can be seen that as a meshless method, MFS gives very good results for the test problems. The thermal shock problem presented here also gives accurate solutions by using MFS and agrees well with the FEM solution.
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Francoeur, Mathieu, und Daniel R. Rousse. „Numerical Solutions of Transient Radiative Transfer Using Time and Frequency-Domain Approaches“. In ASME 2005 Summer Heat Transfer Conference collocated with the ASME 2005 Pacific Rim Technical Conference and Exhibition on Integration and Packaging of MEMS, NEMS, and Electronic Systems. ASMEDC, 2005. http://dx.doi.org/10.1115/ht2005-72734.

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The one-dimensional transient radiative transfer problem in the Cartesian coordinate system — an absorbing and scattering medium illuminated by a short laser pulse — is solved by the use of time and frequency-domain approaches. In both cases, a Discrete Ordinates–Finite Volume method is adopted. Results for transmittance show that even if high order spatial schemes coupled with flux limiters can minimize the non-physical results associated with the temporal approach (transmitted flux emerging earlier than the minimal time required by the radiation to leave the medium), early transmitted radiation are always present. Transmittances obtained from the space-frequency method are more accurate, without unrealistic behaviors at early time periods. However, the frequency-dependent approach is computationally expensive with respect to its temporal counterpart, and the implementation of a Fast Fourier Transform algorithm is therefore considered. Finally, promising applications regarding optical diagnosis of absorbing and scattering media, using the radiation transport equation in the space-frequency domain, are briefly discussed.
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Rao, Singiresu S. „Meshless Local Petrov-Galerkin Method for Heat Transfer Analysis“. In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-64554.

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A meshless local Petrov-Galerkin (MLPG) method is proposed to obtain the numerical solution of nonlinear heat transfer problems. The moving least squares scheme is generalized, to construct the field variable and its derivative continuously over the entire domain. The essential boundary conditions are enforced by the direct scheme. The radiation heat transfer coefficient is defined, and the nonlinear boundary value problem is solved as a sequence of linear problems each time updating the radiation heat transfer coefficient. The matrix formulation is used to drive the equations for a 3 dimensional nonlinear coupled radiation heat transfer problem. By using the MPLG method, along with the linearization of the nonlinear radiation problem, a new numerical approach is proposed to find the solution of the coupled heat transfer problem. A numerical study of the dimensionless size parameters for the quadrature and support domains is conducted to find the most appropriate values to ensure convergence of the nodal temperatures to the correct values quickly. Numerical examples are presented to illustrate the applicability and effectiveness of the proposed methodology for the solution of heat transfer problems involving radiation with different types of boundary conditions. In each case, the results obtained using the MLPG method are compared with those given by the FEM method for validation of the results.
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El Ganaoui, K., und G. Allaire. „Homogenization of a Conductive and Radiative Heat Transfer Problem, Simulation With CAST3M“. In ASME 2005 Summer Heat Transfer Conference collocated with the ASME 2005 Pacific Rim Technical Conference and Exhibition on Integration and Packaging of MEMS, NEMS, and Electronic Systems. ASMEDC, 2005. http://dx.doi.org/10.1115/ht2005-72193.

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We are interested in conductive and radiative transfer of energy in the core of gas cooled reactors. Two scales characterize the problem: macroscopic and microscopic. We want to consider the domain like an equivalent homogenous medium. So we use homogenization theory to compute the effective macroscopic properties which take into account the microscopic structure. We first present a full mathematical study of a simpler conduction problem with non linear boundary condition and its simulation with the CEA’s (French Atomic Energy Commissariat) computer code CAST3M. Then we present the homogenization of the real physical problem (including radiative boundary condition).
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