Independent researches of expert groups and scientific papers show that , although some testing models and automated and manual tools are mostly used, but still some software and software projects deal with important ...
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Purpose-The purpose of this paper is to address some weaknesses in the handling of current multi-factor authentication, suggests some criteria for overcoming these weaknesses and presents a simple proof of concept aut...
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Due to environmental mismatch, speech recognition systems often exhibit drastic performance degradation in noisy conditions. This paper presents a model based technique termed adaptive parallel model combination (APMC...
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Due to environmental mismatch, speech recognition systems often exhibit drastic performance degradation in noisy conditions. This paper presents a model based technique termed adaptive parallel model combination (APMC) which compensates the initial acoustic models to reduce the discrepancy. APMC used the well-known PMC technique to composite a set of corrupted speech models, while fine tuning the mean parameter of the models using a transformation-based adaptation technique called Maximum Likelihood Spectral Transformation (MLST). Evaluated on a context-independent phone recognition task, APMC was found to be superior to both PMC and MLST, especially in non-stationary noisy conditions. On average, APMC has achieved 48.81% improvement over the initial models, whereas PMC and MLST have improved the accuracy by 34.12% and 35.23% respectively.
Classes are the basic modules in object-oriented (OO) software, which consist of attributes and methods. Thus, in an OO environment, cohesion mainly concerns how tight the attributes and methods of classes are. This p...
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Classes are the basic modules in object-oriented (OO) software, which consist of attributes and methods. Thus, in an OO environment, cohesion mainly concerns how tight the attributes and methods of classes are. This paper discusses the relationships between attributes and attributes, attributes and methods, and methods and methods of a class based on dependence analysis. Then we discuss the properties of these relationships. According to these properties, this paper proposes a novel approach to measuring class cohesion. Our approach overcomes the limitations of previous class cohesion measures, which consider only one or two of the three relationships in a class. We also prove that this measure satisfies the properties that a good measurement should have.
The Centre for Advanced Studies (CAS) is an applied research centre formed in 1990 within the IBM Toronto software Solutions Laboratory. Its primary aim is to facilitate the transfer of research ideas into the various...
The Centre for Advanced Studies (CAS) is an applied research centre formed in 1990 within the IBM Toronto software Solutions Laboratory. Its primary aim is to facilitate the transfer of research ideas into the various product groups of the laboratory. Although we are still learning how to make CAS operate more effectively, and it is too early to assess its long-term success, the model for CAS has proved to be workable. The primary partners, namely the IBM Toronto software Solutions Laboratory, the IBM research community, universities in North America, and government agencies that support collaborative research, have found it a viable approach. As an overview, this essay provides some background to the formation of the centre, describes some of the challenges deemed important in defining the role of the centre, identifies a number of principles that are used to guide its formation and current operation, and reports on its progress. We conclude with a discussion of some lessons learned in the operation of the centre to date and identify future activities and directions for the centre.
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