This paper describes a proposal for typing the behavior of objects in component models. Most component models, CORBA in particular, do not offer any support for expressing behavioral properties of objects beyond the S...
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This paper addresses the efficient execution of a Multiple Sequence Alignment (MSA) method, in particular the progressive alignment-based CLUSTAL W algorithm, on a cluster of workstations. We describe a scalable compo...
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ISBN:
(纸本)9781581136241
This paper addresses the efficient execution of a Multiple Sequence Alignment (MSA) method, in particular the progressive alignment-based CLUSTAL W algorithm, on a cluster of workstations. We describe a scalable component-based implementation of CLUSTAL W program targeting distributed memory machines and multiple query workloads. We look at the effect of data caching on the performance of the data server. We present a distributed, persistent cache approach for caching intermediate results for reuse in subsequent or concurrent queries. Our initial results show that the cache-enabled CLUSTAL W program scales well on a cluster of workstations.
This paper is a follow up on our previous work on intrusion detection for computer systems. It is motivated by the accelerated growth of computer viruses in computer networks. Most applications and operational systems...
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In each Canadian province, hospitals collect information, at discharge, on the hospital stay of each patient. The information is collected in the form of a patient discharge abstract (PDA) and sent to the Canadian Ins...
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ISBN:
(纸本)9781581136241
In each Canadian province, hospitals collect information, at discharge, on the hospital stay of each patient. The information is collected in the form of a patient discharge abstract (PDA) and sent to the Canadian Institute for Health Information. The Patient Discharge Abstract uses the ICD-10-CA code standard to outline the assigned diagnoses for the patient's condition and the procedures that were performed. One compulsory piece of information in the Patient Discharge Abstract is the identification of the "most responsible diagnosis" (MRDx) - that diagnosis considered to be the most significant condition of the patient that caused the greatest length of stay in hospital. This research investigates the potential for automating the process of feature extraction from a narrative patient discharge summary to support the classification of the MRDx for a Patient Discharge Abstract. Unsupervised neural networks - Self-Organizing Maps (SOM) are effective for classification tasks based on noisy input patterns. Here a hierarchical architecture of SOMs is used to identify semantic similarities encoded in the original information and visualize the characteristics of an MRDx.
The Markov Blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov Blankets inform feature selection, aid in causal discovery and serv...
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An increasing number of online applications operate on data from disparate, and often wide-spread, data sources. This paper studies the design of a system for the automated monitoring of on-line data sources. In this ...
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An increasing number of online applications operate on data from disparate, and often wide-spread, data sources. This paper studies the design of a system for the automated monitoring of on-line data sources. In this system a number of ad-hoc data warehouses, which maintain client-specified views, are interposed between clients and data sources. We present a model of coherence, referred to here as slacker coherence, to address the freshness problem in the context of pull-based protocols. We experimentally examine various techniques for estimating update rates and polling adaptively. We also look at the impact on the coherence model performance of the request scheduling algorithm at the source.
As data and computational grids grow in size and complexity, the crucial task of identifying, monitoring and utilizing available resources in an efficient manner is becoming increasingly difficult. The design of monit...
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ISBN:
(纸本)9780769519654
As data and computational grids grow in size and complexity, the crucial task of identifying, monitoring and utilizing available resources in an efficient manner is becoming increasingly difficult. The design of monitoring systems that are scalable both in the number of sources being monitored and in the number of clients served is a challenging issue. In this paper we investigate the trade-offs of different polling strategies that can be used to monitor resource availability on machines in a distributed environment. We show how adaptive polling protocols can substantially increase scalability with a less than proportional loss of precision, and how these protocols can be personalized for different types of resource usage patterns.
This paper describes a proposal for typing the behavior of objects in component models. Most component models, CORBA in particular, do not offer any support for expressing behavioral properties of objects beyond the ...
This paper describes a proposal for typing the behavior of objects in component models. Most component models, CORBA in particular, do not offer any support for expressing behavioral properties of objects beyond the “Static” information provided by IDLs. We build on the works by Honda et al. [6] and Gay and Hole [5] to show how session types can be effectively used for describing protocols, extending the information currently provided by object interfaces. We show how session types not only allow high level specifications of complex object interactions, but also allow the definition of powerful interoperability tests at the protocol level, namely compatibility and substitutability of objects
Herein, we propose a novel multi-layer Markov random field (MRF) image segmentation model which aims at combining color and texture features: Each feature is associated to a so called feature layer, where an MRF model...
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Herein, we propose a novel multi-layer Markov random field (MRF) image segmentation model which aims at combining color and texture features: Each feature is associated to a so called feature layer, where an MRF model is defined using only the corresponding feature. A special layer is assigned to the combined MRF model. This layer interacts with each feature layer and provides the segmentation based on the combination of different features. The model is quite generic and isn't restricted to a particular texture feature. Herein we will test the algorithm using Gabor and MRSAR texture features. Furthermore, the algorithm automatically estimates the number of classes at each layer (there can be different classes at different layers) and the associated model parameters.
Presented theoretical paper concerns the structure investigation of Si/SiGe/Si heterojunction bipolar device by the extremely sensitive Grazing-angle Incidence X-ray Backdiffraction (GIXB) technique. The silicon cap l...
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Presented theoretical paper concerns the structure investigation of Si/SiGe/Si heterojunction bipolar device by the extremely sensitive Grazing-angle Incidence X-ray Backdiffraction (GIXB) technique. The silicon cap layer and the silicon substrate have the same value of the spacing period along the growth surface according the proposed model of heterostructure. However, a longitudinal space shift exists between their lattice space periods. Appearance of the space shift is stipulated by the interface misfit dislocations. The magnitude of the space shift is one of the important characteristics of crystalline layers and substrate interface quality, and can be used for the non-destructive control of device parameters during the growth and fabrication processes.
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