Xem 1-20 trên 309 kết quả Traditional approaches
  • Lecture "Chapter 6: The traditional approach to requirements" provides students with the knowledge: Data flow diagrams, DFD fragment from the RMO case, context diagrams, DFD fragments, event-Partitioned system model, DFD fagments for course,... Invite you to consult.

    pdf9p doinhugiobay_04 27-11-2015 9 1   Download

  • Lecture "Chapter 10: The traditional approach to design" provides students with the knowledge: Overview, the automation system boundary, the atructured approach to designing the application architectur, the sutomation system boundary,... Invite you to consult.

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  • Learning objectives for this chapter: Explain how the traditional approach and the object-oriented approach differ when an event occurs, list the components of a traditional system and the symbols representing them on a data flow diagram, describe how data flow diagrams can show the system at various levels of abstraction,...

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  • In recent years, enormous strides have been made in the art and science of credit risk measurement and management. Much of the energy in this area has resulted from dissatisfaction with traditional approaches to credit risk measurement and with the current Bank for International Settlements (BIS) regulatory model.

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  • Lecture Systems Analysis and Design in a Changing World - Chapter 10 include objectives: Develop a system flowchart, develop a structure chart using transaction analysis and transform analysis, write pseudocode for structured modules.

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  • Introduction to Computing: Lecture 6 - Databases presents about The Hierarchy of Data, Keys and Attributes, The Traditional Approach To Data Management, Database, Database Approach, Traditional Files vs. Databases, Database Management Systems.

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  • Learning objectives for chapter 2: Explain the purpose and various phases of the systems development life cycle (SDLC); explain the differences between a model, a tool, a technique, and a methodology; describe the two overall approaches used to develop information systems: the traditional method and the object-oriented method,...

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  • This book gives you a proven method to help ensure your company’s success. Organizations fail to accomplish their goals for one simple reason: The management story being told is incomplete, inaccurate, and incongruent. This book cuts past the traditional problems of planning and provides management with a documented method of building a simplified business plan that works. You’ll learn how to tell a story that is inclusive of employees and empowers them to participate in the company success....

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  • In many parts of the world, where medicines are not readily available or affordable, the public continue to rely on medicines used traditionally in their cultures. At the same time, affluent consumers in the industrialized world are spending their own money on healthcare approaches that fall outside what has been considered mainstream medicine. A growing body of national and international studies highlight the reality that there is exponential growth of global interest in and use of traditional (i.e. indigenous), complementary and alternative medicine (TCAM).

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  • The book opens with a section on recent advances in analytical methods. Dr. Kang Bongsu contributed a chapter that presents an alternative technique for the free and forced vibration analysis of one-dimensional distributed parameter systems. This approach is based on the idea of superimposing the amplitudes of the constituent travelling waves, rather than the traditional approach of normal mode expansion that relies on the apriori calculation of eigensolutions or assumed normal modes.

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  • This handy reference provides users with an understanding of complementary and alternative treatment options for more than 130 common disease states. A practical manual, it describes a variety of possible approaches to small animal disorders. Concentrating on nutrition, herbs, traditional Chinese medicines, and physical therapies, the authors present both tradition- and evidence-based therapies for disorders not always responsive to conventional therapies.

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  • The financial crisis has, to put it mildly, seriously challenged our traditional approach to risk management. Consequently, a number of individuals and institutions have advanced ideas for improving not only the analytical framework, but also the status and relevance of risk management. This report, not only reacts to the most recent episode (although we indeed reference many relevant examples), it also attempts to address a deeper problem: the demonstrated inability of the global financial system to constructively mitigate and deal with financial crises.

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  • In the past, protease-substrate finding proved to be rather haphazard and was executed byin vitro cleavage assays using singly selected targets. In the present study, we report the first protease proteomic approach applied to meprin, an astacin-like metalloendopeptidase, to determine physiological substrates in a cell-based system of Madin–Darby canine kidney epithelial cells.

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  • Computational story telling has sparked great interest in artificial intelligence, partly because of its relevance to educational and gaming applications. Traditionally, story generators rely on a large repository of background knowledge containing information about the story plot and its characters. This information is detailed and usually hand crafted. In this paper we propose a data-driven approach for generating short children’s stories that does not require extensive manual involvement. ...

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  • We present new statistical models for jointly labeling multiple sequences and apply them to the combined task of partof-speech tagging and noun phrase chunking. The model is based on the Factorial Hidden Markov Model (FHMM) with distributed hidden states representing partof-speech and noun phrase sequences. We demonstrate that this joint labeling approach, by enabling information sharing between tagging/chunking subtasks, outperforms the traditional method of tagging and chunking in succession.

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  • In this paper we propose a competition learning approach to coreference resolution. Traditionally, supervised machine learning approaches adopt the singlecandidate model. Nevertheless the preference relationship between the antecedent candidates cannot be determined accurately in this model. By contrast, our approach adopts a twin-candidate learning model. Such a model can present the competition criterion for antecedent candidates reliably, and ensure that the most preferred candidate is selected.

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  • The phosphotransferase system inEscherichia coliis a transport and sen-sory system and, in this function, is one of the key players of catabolite repression. Mathematical modelling of signal transduction and gene expres-sion of the enzymes involved in the transport of carbohydrates is a promis-ing approach in biotechnology, as it offers the possibility to achieve higher production rates of desired components.

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  • Traditionally, the canine pancreatic endoplasmic reticulum (ER) has been the workhorse for cell-free studies on protein transport into the mamma-lian ER. These studies have revealed multiple roles for the major ER-lumi-nal heat shock protein (Hsp) 70, IgG heavy chain-binding protein (BiP), at least one of which also involves the second ER-luminal Hsp70, glucose-reg-ulated protein (Grp) 170.

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  • Most NLP applications work under the assumption that a user input is error-free; thus, word segmentation (WS) for written languages that use word boundary markers (WBMs), such as spaces, has been regarded as a trivial issue. However, noisy real-world texts, such as blogs, e-mails, and SMS, may contain spacing errors that require correction before further processing may take place. For the Korean language, many researchers have adopted a traditional WS approach, which eliminates all spaces in the user input and re-inserts proper word boundaries. ...

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  • This paper proposes a new approach for Multi-word Expression (MWE)extraction on the motivation of gene sequence alignment because textual sequence is similar to gene sequence in pattern analysis. Theory of Longest Common Subsequence (LCS) originates from computer science and has been established as affine gap model in Bioinformatics. We perform this developed LCS technique combined with linguistic criteria in MWE extraction.

    pdf7p hongvang_1 16-04-2013 17 1   Download

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