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Domain (software engineering)

About: Domain (software engineering) is a research topic. Over the lifetime, 48017 publications have been published within this topic receiving 648449 citations.


Papers
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Patent
03 Nov 2010
TL;DR: In this paper, an asymmetric software triple-computer hot backup fault-tolerant method is proposed, where both a local physical host and a remote physical host are loaded with virtual machine systems.
Abstract: The invention provides an asymmetric software triple-computer hot backup fault-tolerant method. Both a local physical host and a remote physical host are loaded with virtual machine systems, simultaneously, a local backup domain and a remote backup domain are provided for user application and the operating environment, the user application and the operating environment are encapsulated into a work domain, the local backup domain and the work domain are run in the same physical host, the remote backup domain is run in another physical host, and the two physical hosts are connected with each other through the network. As the remote backup operation is completed by a specific processor, the executing process does not affect the running of the local work domain at all. The method greatly reduces the performance cost caused by synchronization of main and standby states at the same time of guaranteeing the reliability of the system, and simultaneously, the deployment of the fault-tolerant system is more flexible and has better expandability.

13 citations

Book ChapterDOI
03 Sep 2012
TL;DR: An extensible approach to sentiment classification that leverages sentiment lexicons and out-of-domain data to build a case-based system where solutions to past cases are reused to predict the sentiment of new documents from an unknown domain is proposed.
Abstract: This paper considers the task of sentiment classification of subjective text across many domains, in particular on scenarios where no in-domain data is available. Motivated by the more general applicability of such methods, we propose an extensible approach to sentiment classification that leverages sentiment lexicons and out-of-domain data to build a case-based system where solutions to past cases are reused to predict the sentiment of new documents from an unknown domain. In our approach the case representation uses a set of features based on document statistics, while the case solution stores sentiment lexicons employed on past predictions allowing for later retrieval and reuse on similar documents. The case-based nature of our approach also allows for future improvements since new lexicons and classification methods can be added to the case base as they become available. On a cross domain experiment our method has shown robust results when compared to a baseline single-lexicon classifier where the lexicon has to be pre-selected for the domain in question.

13 citations

Journal ArticleDOI
TL;DR: This study reveals how MBD1-c discriminates different binding partners, and thus, expands the understanding of the mechanisms of gene regulation byMBD1.
Abstract: Transcriptional Repressor Domain of MBD1 is Intrinsically Disordered and Interacts with its Binding Partners in a Selective Manner

13 citations

Proceedings ArticleDOI
13 Jan 2004
TL;DR: This work addresses the problem of efficiently visualizing both existing and incoming information by connecting domain data types and presentation requirements of the domain's tasks by integrating domain knowledge and knowledge about human situation awareness.
Abstract: Time-critical domains, such as emergency management, demand fast decisions from expert users under stress. Our Decision-Centered Visualization (DCV) system supports decision making by integrating domain knowledge and knowledge about human situation awareness for time-critical visualization. Efficient information presentation is vital for the user's situation awareness and, in consequence, to his or her task performance. We address the problem of efficiently visualizing both existing and incoming information by connecting domain data types and presentation requirements of the domain's tasks.

13 citations

Journal ArticleDOI
TL;DR: The multilevel domain decomposition strategy here proposed is shown to accurately predict the response of microsystems subjected to electro-mechanical coupling and to allow for a significant reduction in the computational burden.
Abstract: SUMMARY A domain decomposition approach for the solution of the coupled electro-mechanical problem in dynamics is proposed. The finite element analysis of a coupled electro-mechanical system is frequently found, for example, in the modelling and design of microsystems and may lead to a burdensome nonlinear problem solution, particularly in the dynamic case. Two versions of the algorithm are proposed: the first one, called single-level decomposition, exploits the natural partition of the analysis domain given by the two physics to be solved; the second one, called two-level decomposition, adds a further subdivision of each physics into subdomains. The multilevel domain decomposition strategy here proposed is shown to accurately predict the response of microsystems subjected to electro-mechanical coupling and to allow for a significant reduction in the computational burden. Copyright © 2012 John Wiley & Sons, Ltd.

13 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202256
20213,312
20203,222
20193,209
20182,828
20172,211