The efficient execution of a method has a great impact on a system response time. Optimising access to data returned by methods is difficult as methods are written in high-level programming languages. Moreover, estima...
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ISBN:
(纸本)9781581138122
The efficient execution of a method has a great impact on a system response time. Optimising access to data returned by methods is difficult as methods are written in high-level programming languages. Moreover, estimating a method's execution cost is another serious problem because of the complexity of a method's code. A promising technique to tackle the problem of optimising execution of methods is based on method materialisation, Within our project we developed, so called, hierarchical method materialisation technique. In this paper we present a prototype system for hierarchical materialisation of methods and for the management of their results in an object-oriented database.
This paper proposes a prepositional method for hierarchical model-based clustering of relational data. We define a new type of aggregate - frequency aggregate, which has a vector data type and can be used to record no...
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ISBN:
(纸本)9781581138122
This paper proposes a prepositional method for hierarchical model-based clustering of relational data. We define a new type of aggregate - frequency aggregate, which has a vector data type and can be used to record not only the observed values but also the distribution of the values of an attribute. A hierarchical agglomerative clustering algorithm with log-likelihood distance is then applied to cluster the aggregated data tentatively, and a mixture model-based method with the EM algorithm is developed to perform a further relocation clustering, in which Bayes Information Criterion is used to determine the optimal number of clusters.
This paper presents a novel method that allows the delegation of signature power to one or more entities that jointly play the role of a proxy signer. This work is different from other related proxy signature schemes ...
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ISBN:
(纸本)9781581138122
This paper presents a novel method that allows the delegation of signature power to one or more entities that jointly play the role of a proxy signer. This work is different from other related proxy signature schemes in that in addition to providing confidentiality protection to the proxy key, the method provides non-repudiation services to all the parties involved. In particular, it protects against repudiation of signature delegation by the original signer, repudiation of proxy signature generation by the proxy signer, and repudiation of receipt of the proxy signature by the signature recipient. This feature is attractive for signature delegation in agent-based paradigm in which proxy signers are mobile agents that are executed in remote untrustworthy hosts.
The Standard for Digital Imaging and Communications in Medicine (DICOM) specifies a non-proprietary digital imaging format, file structure and data interchange protocols for the transfer of biomedical images and non-i...
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ISBN:
(纸本)9781581138122
The Standard for Digital Imaging and Communications in Medicine (DICOM) specifies a non-proprietary digital imaging format, file structure and data interchange protocols for the transfer of biomedical images and non-image data related to such images - it is a specification of the components that are required in order to achieve inter-operability between biomedical imaging computer systems. In this paper we describe how a Grid-enabled medical imaging database - eDiaMoND - employs an object-relational approach to the storage of DICOM files. Although the work described has been carried out within the context of a particular mammography related project, the underlying principles are applicable to other medical imaging systems dealing either with other modalities or with other diseases.
In this paper we present a data mining system, which allows the application of different clustering and cluster validity algorithms for DNA microarray data. This tool may improve the quality of the data analysis resul...
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ISBN:
(纸本)9781581138122
In this paper we present a data mining system, which allows the application of different clustering and cluster validity algorithms for DNA microarray data. This tool may improve the quality of the data analysis results, and may support the prediction of the number of relevant clusters in the microarray datasets. This systematic evaluation approach may significantly aid genome expression analyses for knowledge discovery applications. The developed software system may be effectively used for clustering and validating not only DNA microarray expression analysis applications but also other biomedical and physical data with no limitations. The program is freely available for non-profit use on request at http://***/***/***.
We describe a very intricate case of interlocked bio-processes: the blood clotting cascade, by using a set of tools from object-oriented design (OOD). Originally, OOD has been designed for the abstract specification o...
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We describe a very intricate case of interlocked bio-processes: the blood clotting cascade, by using a set of tools from object-oriented design (OOD). Originally, OOD has been designed for the abstract specification of complex software prior to programming. OOD brings a handful of concepts such as modularity, classes, methods and their inheritance hierarchies for concurrent process synchronization and cooperation. It appears that the set of OOD methods can be a very fruitful tool for the abstract description of biological processes apparently quite far away from software engineering. We give a moderately detailed view of the blood clotting cascade using the standard tool of OOD: Unified Modeling Language (UML) and its extension: Real-Time UML.
Realistic network traffic can exhibit the Long-Range Dependent (LRD) feature which is characterised by a hyperbolically decaying correlation function and has strong effects on the performance of communication networks...
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ISBN:
(纸本)9781581138122
Realistic network traffic can exhibit the Long-Range Dependent (LRD) feature which is characterised by a hyperbolically decaying correlation function and has strong effects on the performance of communication networks. As the convergence of simulations to a steady state under LRD workloads is often very slow, analytical models become cost-effective and versatile tools that can help designers to investigate system performance. This paper designs an analytical performance model for computing communication delay in adaptively routed hypercubic networks in the presence of LRD traffic. The model is derived in the context of pipelined circuit switching. The tractability and reasonable accuracy of the analytical model make it a practical and cost-effective evaluation tool to study the performance behaviour of hypercubic networks under LRD traffic.
With the dramatically increasing amounts of genomic sequence database, there is a need for faster and more sensitive searching for sequence similarity analysis. The Smith-Waterman algorithm, which utilizes dynamic pro...
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With the dramatically increasing amounts of genomic sequence database, there is a need for faster and more sensitive searching for sequence similarity analysis. The Smith-Waterman algorithm, which utilizes dynamic programming, is a common method for performing exact local alignments between two protein or DNA sequences. The Smith-Waterman algorithm is exhaustive and generally considered to be the most sensitive, but long computation times limit the use of this algorithm. This paper presents a preliminary implementation of Smith-Waterman algorithm using a new chip multiprocessor architecture with multiple Digital Signal Processors (DSP) on a single chip leading to high performance at low cost.
This paper presents an overview of our work, concerning a complete end-to-end framework for automatically generating message passing parallel code for tiled nested for-loops. It considers general parallelepiped tiling...
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ISBN:
(纸本)9781581138122
This paper presents an overview of our work, concerning a complete end-to-end framework for automatically generating message passing parallel code for tiled nested for-loops. It considers general parallelepiped tiling transformations and general convex iteration spaces. We address all problems regarding both the generation of sequential tiled code and its parallelization. We have implemented our techniques in a tool which automatically generates MPI parallel code and conducted several series of experiments, concerning the compilation time of our tool, the efficiency of the generated code and the speedup attained on a cluster of PCs. Apart from confirming the value of our techniques, our experimental results show the merit of general parallelepiped tiling transformations and verify previous theoretical work on scheduling-optimal tile shapes.
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