In this work we present a comparative study, testing selected methods for clustering and classification of holter electrocardiogram (ECG). More specifically we focus on the task of discriminating between normal 'N...
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In this work we present a comparative study, testing selected methods for clustering and classification of holter electrocardiogram (ECG). More specifically we focus on the task of discriminating between normal 'N' beats and premature ventricular 'V' beats. Some of the tested methods represent the state of the art in pattern analysis, while others are novel algorithms developed by us. All the algorithms were tested on the same datasets, namely the MIT-BIH and the AHA databases. The results for all the employed methods are compared and evaluated using the measures of sensitivity and specificity.
Connectors are used to realize component interactions in component systems. Apart from their primary function, which is mediating the communication, their implementation can also support additional features that, whil...
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The versatile MOdeling, Specification and Evaluation Language is the core element of the MOSEL-2 tool. This description languages provides a high-level means for specifying models, performance measures, and the graphi...
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The versatile MOdeling, Specification and Evaluation Language is the core element of the MOSEL-2 tool. This description languages provides a high-level means for specifying models, performance measures, and the graphical presentation of results. The description languages is implemented in form of an evaluation environment that comprises translators to the modeling languages of several third-party performance evaluation tools that evaluate the specified model.
This paper presents two novel generic adaptive batching schemes for replicated servers. Both schemes are oblivious to the underlying communication protocols. Our novel schemes adapt their batching levels automatically...
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This paper presents two novel generic adaptive batching schemes for replicated servers. Both schemes are oblivious to the underlying communication protocols. Our novel schemes adapt their batching levels automatically and immediately according to the current communication load. This is done without any explicit monitoring or calibration of the system. Additionally, the paper includes a detailed performance evaluation
The measurement of light scattering is a well established scientific method for the analysis of particle sizes in macromolecular solutions. The spectrum of applications reaches from physics, over pharmacology, molecul...
The measurement of light scattering is a well established scientific method for the analysis of particle sizes in macromolecular solutions. The spectrum of applications reaches from physics, over pharmacology, molecular and cell biology, immunology right up to environmental research. The underlying principle of this approach is the extraction of spectral information from light scattering using correlation techniques. The system at present, in the phase of design, represents a novel FPGA based real-time multi correlator system for multi angle dynamic and static light scattering experiments
The paper recasts the problem of feature location in source code as a decision-making problem in the presence of uncertainty. The main contribution consists in the combination of two existing techniques for feature lo...
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The paper recasts the problem of feature location in source code as a decision-making problem in the presence of uncertainty. The main contribution consists in the combination of two existing techniques for feature location in source code. Both techniques provide a set of ranked facts from the software, as result to the feature identification problem. One of the techniques is based on a scenario based probabilistic ranking of events observed while executing a program under given scenarios. The other technique is defined as an information retrieval task, based on the latent semantic indexing of the source code. We show the viability and effectiveness of the combined technique with two case studies. A first case study is a replication of feature identification in Mozilla, which allows us to directly compare the results with previously published data. The other case study is a bug location problem in Mozilla. The results show that the combined technique improves feature identification significantly with respect to each technique used independently
Current trends in the global economy are leading to inter-enterprise interactions and to new business models that depend on the timely notification of events and the reaction to them. In this paper we present a distri...
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Recent advances in P2P lookup overlays provide an appealing solution for distributed search without relying on a single database server. In addition to performing resource discovery, these P2P substrates also offer me...
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Engineering a large software project involves tracking the impact of development and maintenance changes on the software performance. An approach for tracking the impact is regression benchmarking, which involves auto...
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Engineering a large software project involves tracking the impact of development and maintenance changes on the software performance. An approach for tracking the impact is regression benchmarking, which involves automated benchmarking and evaluation of performance at regular intervals. Regression benchmarking must tackle the nondeterminism inherent to contemporary computersystems and execution environments and the impact of the nondeterminism on the results. On the example of a fully automated regression benchmarking environment for the mono open-source project, we show how the problems associated with nondeterminism can be tackled using statistical methods.
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