The development of electronic technology today has allowed the implementation of complex architectures, which led to the emergence of multicore processors technology. Multicore architectures are built from superscalar...
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The development of electronic technology today has allowed the implementation of complex architectures, which led to the emergence of multicore processors technology. Multicore architectures are built from superscalar and multithreaded processors. Integrating new technologies in embedded applications requires the development of multicore processors that can be integrated into a smaller area like a classic microcontroller. These processors must manage fewer resources and be able to manage multiple tasks simultaneously. In this paper we present a method of modeling, simulation and evaluation of two multithreaded architectures with limited resources, which could be integrated into embedded systems: Interleaved multithreading (IMT) and Blocked multithreading (BMT). Both techniques permit the processing of multiple independent threads, concurrently. In this paper we propose a SimpleScalar Interleaved Multithreading architecture (SS-IMT) and a SimpleScalar Blocked Multithreading architecture (SS-BMT) that are derived from SimpleScalar simulator. We will evaluate the performances of these architectures compared to the performance of standard SimpleScalar architecture.
The extraction and representation of information from volume data are important research avenues in computer-based visualization. The interpretation of three- or multi-dimensional data from various scanning devices is...
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The extraction and representation of information from volume data are important research avenues in computer-based visualization. The interpretation of three- or multi-dimensional data from various scanning devices is important to medical imaging, diagnosis and treatment, reliability and sustainability analyses in various industrial branches, and, in more general terms, information visualization. In this paper, we present several approaches for the classification and representation of relevant information from volume data sets. The techniques are based on the gradient vector, a property directly derived from the original volume data. We show how this property can be computed and subsequently used for classification through gradient-based one- and multi-dimensional transfer functions, as well as for the enhancement of surface features. The described techniques are illustrated through images generated using our volume rendering framework, from Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) data sets. The resulting images show how gradient-based techniques are suited for improved volume classification and the better extraction of meaningful information.
This paper is a step forward by making real time control system design to monitor and control process variables to ensure its smooth operation and desired reliability. Liquid nitrogen level in the condenser is a core ...
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This paper is a step forward by making real time control system design to monitor and control process variables to ensure its smooth operation and desired reliability. Liquid nitrogen level in the condenser is a core component of isotopic separation process to obtain ( 13 C), so is needed a special focus on monitoring and control. The goal of the work is to design a controller for the liquid nitrogen in the condenser of ( 13 C) isotope separation column using NI-PXI 1031 (PCI eXtensions for Instrumentation) from National Instruments. The designed ON-OFF controller is implemented in LabVIEW and are discussed the advantages and disadvantages.
Abstract The paper deals with the LQG controller design optimizing the amount of power produced by two bladed horizontal variable speed wind turbines. The proposed controller ensures not only an optimal operation of t...
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Abstract The paper deals with the LQG controller design optimizing the amount of power produced by two bladed horizontal variable speed wind turbines. The proposed controller ensures not only an optimal operation of turbines but also enables a compromise with the minimization of the blade oscillations and with the tower bending tendency.
Two-dimensional polyacrylamide gel electrophoresis of proteins is a robust and reproducible technique. It is the most widely used separation tool in proteomics. Current efforts in the field are directed at development...
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Two-dimensional polyacrylamide gel electrophoresis of proteins is a robust and reproducible technique. It is the most widely used separation tool in proteomics. Current efforts in the field are directed at development of tools for expanding the range of proteins accessible with two-dimensional gels. Proteomics was built around the two-dimensional gel. The idea that multiple proteins can be analyzed in parallel grew from two-dimensional gel maps. Proteomics researchers needed to identify interested protein spots by examining the gel. This is time consuming, labor extensive and error prone. It is desired that the computer can analyze the proteins automatically by first detecting then quantifying the protein spots in the 2-D gel images. In our previous work, we presented a new technique for segmentation of 2-D gel images using the fuzzy c-means algorithm using the notion of fuzzy relations. In this paper, we will describe the new relational fuzzy c-means algorithm (RFCM) and use it for automatic protein spots quantification. We will also use two methods to evaluate its performance: the unsupervised evaluation method and comparison with the expert spots quantification.
Peer-to-Peer (P2P) networks are largely used for file-sharing and hence must provide efficient mechanisms for searching the files stored at various nodes. The existing structured P2P overlays support only "exact-...
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Since data is becoming more and more unstructured, clustering heterogeneous data is essential to getting structured information in response to user queries. In this paper, we test and validate the results of a new clu...
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The paper discusses a generic, open architecture for industrial or non-industrial robot controllers allowing system designers and robot manufacturers to develop rapid deployment automation solutions for particular mec...
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Failure detection is a fundamental building block for ensuring fault tolerance in large scale distributed systems. In this paper we present an innovative solution to this problem. The approach is based on adaptive, de...
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Over the Internet today, computing and communications environments are more complex and chaotic than classical distributed systems, lacking any centralized organization or hierarchical control. Peer-to-Peer network ov...
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