نتایج جستجو برای: stms

تعداد نتایج: 189  

2008
S. M. Henalla C. J. Hutchins P. Robinson J. MacVicar

The use of three different non-operative techniques for the treatment of female genuine urinary stress incontinence has bem assessd by objective means. One hundred and four patients complaining of stms incontinence werc allocated at random to four groups. Sixty-five per cmt of patients treated with pelvic floor exercises were significantly improved after 3 months, interfercntial therapy was eff...

2007
L. Hauser John R. Hauser John Hauser

Simulated test markets are powerful tools that are used frequently to aid marketing managers in making a go/no-go decision before bringing a product to test market. Over the past twenty years, STMs have expanded beyond application in fast-moving consumer goods to industries such as financial services, pharmaceuticals, durables, and new technology. Today, the STM industry is fairly consolidated,...

2010
Nathan G. Bronson Hassan Chafi Kunle Olukotun

We introduce CCSTM, a library-based software transactional memory (STM) for Scala, and give an overview of its design and implementation. Our design philosophy is that CCSTM should be a useful tool for the parallel programmer, rather than a parallelization mechanism for arbitrary sequential code, or the sole synchronization primitive in a system. CCSTM expresses transactional reads and writes a...

Journal: :Environmental Modelling and Software 2016
Yung En Chee Lauchlin A. T. Wilkinson Ann E. Nicholson Pedro Quintana-Ascencio John E. Fauth Dianne Hall Kimberli J. Ponzio Libby Rumpff

State-and-transition models (STMs) have been successfully combined with Dynamic Bayesian Networks (DBNs) to model temporal changes in managed ecosystems. Such models are useful for exploring when and how to intervene to achieve the desired management outcomes. However, knowing where to intervene is often equally critical. We describe an approach to extend state-and-transition dynamic Bayesian n...

Journal: :Journal of Computer Security 2008
Michael T. Goodrich Roberto Tamassia Danfeng Yao

We propose a notarized federated identity management model that supports efficient user authentication when providers are unknown to each other. Our model introduces a notary service, owned by a trusted third-party, to dynamically notarize assertions generated by identity providers. An additional feature of our model is the avoidance of direct communications between identity providers and servi...

2010
Tim Harris P. Felber H. Topcuoglu Guy Korland Pascal Felber

In this paper we present a complete Java STM framework, called Deuce, intended as a platform for developing scalable concurrent applications and as a research tool for designing new STM algorithms. It was not clear if one could build an e cient Java STM without compiler support. Deuce provides several bene ts over existing Java STM frameworks: it avoids any changes or additions to the JVM, it d...

2009
Guy Korland Nir Shavit Pascal Felber

In this paper we present a complete, compiler independent, Java STM framework called Deuce, intended as a development platform for scalable concurrent applications and as a research tool for designing STM algorithms. Deuce provides several benefits over existing Java STM frameworks: it avoids any changes or additions to the JVM, it does not require language extensions or intrusive APIs, and it ...

Journal: :CoRR 2017
Sandeep Kulkarni Sweta Kumari Sathya Peri Archit Somani

In the modern era of multicore processors, utilizing multiple cores properly is a tedious job. Synchronization and communication among processors involve high cost. Software transaction memory systems (STMs) addresses this issues and provide better concurrency in which programmer need not have to worry about consistency issues. Several big-data applications which deal large amounts of data can ...

Journal: :Inf. Process. Manage. 2000
Hang Li Kenji Yamanishi

We address the issue of 'topic analysis,' by which is determined a text's topic structure, which indicates what topics are included in a text, and how topics change within the text. We propose a novel approach to this issue, one based on statistical modeling and learning. We represent topics by means of word clusters, and employ a finite mixture model to represent a word distribution within a t...

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