Book
International Joint Conference on Rough Sets, Springer, Cham.
In this paper it is proposed to improve performance of the automatic speech recognition by using sequential three-way decisions. At first, the largest piecewise quasi-stationary segments are detected in the speech signal. Every segment is classified using the maximum a-posteriori (MAP) method implemented with the Kullback-Leibler minimum information discrimination principle. The three-way decisions are taken for each segment using the multiple comparisons and asymptotical properties of the Kullback-Leibler divergence. If the non-commitment option is chosen for any segment, it is divided into small subparts, and the decision-making is sequentially repeated by fusing the classification results for each subpart until accept or reject options are chosen or the size of each subpart becomes relatively low. Thus, each segment is associated with a hierarchy of variable-scale subparts (granules in rough set theory). In the experimental study the proposed procedure is used in speech recognition with Russian language. It was shown that our approach makes it possible to achieve high efficiency even in the presence of high level of noise in the observed utterance.
One of the goals of the first edition of this book back in 2005 was to present a coherent theory for K-Means partitioning and Ward hierarchical clustering. This theory leads to effective data pre-processing options, clustering algorithms and interpretation aids, as well as to firm relations to other areas of data analysis. The goal of this second edition is to consolidate, strengthen and extend this island of understanding in the light of recent developments. Moreover, the material on validation and interpretation of clusters is updated with a system better reflecting the current state of the art and with our recent ``lifting in taxonomies'' approach. The structure of the book has been streamlined by adding two Chapters: ``Similarity Clustering'' and ``Validation and Interpretation'', while removing two chapters: ``Different Clustering Approaches'' and ``General Issues.'' The Chapter on Mathematics of the data recovery approach, in a much extended version, almost doubled in size, now concludes the book. Parts of the removed chapters are integrated within the new structure. The change has added a hundred pages and a couple of dozen examples to the text and, in fact, transformed it into a different species of a book. In the first edition, the book had a Russian doll structure, with a core and a couple of nested shells around. Now it is a linear structure presentation of the data recovery clustering.
A wireless sensor network of rectangular mesh confi guration and between 20 and 260 clusters of smart sensors is studied. The probability of failure-free operation and the duration of the polling cycle are estimated.
In this paper we describe the cluster modification for the method of conjugated interactions for resource allocation in real time. In contrast to the original method, this modification allows to guarantee an arbitrarily high stability of the structure of resource allocation regardless of the volatile context of solving the problem.
In this paper we describe the cluster modification for the method of conjugated interactions for resource allocation in real time. In contrast to the original method, this modification allows to guarantee an arbitrarily high stability of the structure of resource allocation regardless of the volatile context of solving the problem.
This article examines the evolution of the significance of cluster territories in resource - driven economies. Authors provides an analysis of factors in turning a territory into a habitat for an industrial cluster. Authors proposes stages in transforming an industrial cluster into an innovation cluster based on saturating the base territory with spatially affined production and scientific units, strong direct and indirect relations, and intensive knowledge flows. The outcome of geographic concentration is expected to be the cluster synergy effects, which "turns into" the cumulative territory effect with reflection in positive social - economic processes. Authors have conducted the testing of particular cluster territories for the intensity of using a cluster territory.
Modern international economic environment is exposed to profound transformations of business operating conditions due to consequences of the financial crisis. Currently the organizational flexibility becomes the most important characteristic of enterprises. In its turn it presumes the adoption of such organizational structures where business relationships and aligned IT infrastructure are recognized as a specific type of the resource that a company can use to achieve competitive advantage. This research analyzes various issues of flexible organization and enterprise models which influence functionality and architecture constraints of enterprise information systems. For the analysis the authors have applied a transactions mechanism concept and specific design methodology. This paper offers an insight into key properties of four flexible organizational forms in tight connection with Enterprise Ontology formal modeling approach and DEMO, which follow the language-action perspective.